WO2019017450A1 - Information processing device and information provision method - Google Patents

Information processing device and information provision method Download PDF

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Publication number
WO2019017450A1
WO2019017450A1 PCT/JP2018/027172 JP2018027172W WO2019017450A1 WO 2019017450 A1 WO2019017450 A1 WO 2019017450A1 JP 2018027172 W JP2018027172 W JP 2018027172W WO 2019017450 A1 WO2019017450 A1 WO 2019017450A1
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WIPO (PCT)
Prior art keywords
action
user
message
information
processing apparatus
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PCT/JP2018/027172
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French (fr)
Japanese (ja)
Inventor
憲和 奈良
阿部 憲幸
貴士 松本
明宏 近藤
真琴 織野
賢明 八城
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クラリオン株式会社
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Publication of WO2019017450A1 publication Critical patent/WO2019017450A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/40

Definitions

  • the present invention relates to an information processing apparatus and an information providing method.
  • Patent Document 1 includes an action detection unit that detects a user's action, a situation detection unit that detects a situation, a history storage unit that stores a user's action history in which the situation and the user's action are associated, Based on the current situation detected by the detection unit and the action history stored in the history storage unit, an action prediction unit that predicts an action to be taken next by the user, and detection information from the action detection unit A determination unit that determines whether the user has taken the predicted action determined by the action prediction unit; and the determination unit determines that the user has not taken the predicted action with respect to the user.
  • An information presentation apparatus is disclosed that includes: a notification unit that notifies that effect.
  • Patent Document 1 According to the technology described in Patent Document 1, it is not possible to provide user-friendly information.
  • the information processing apparatus comprises: an action history recording unit recording an action history of the user regarding a visited place visited by the user in the past; an action estimation unit estimating the action of the user based on the action history; And a message output unit that outputs a message according to the user's action estimated by the action estimation unit.
  • the information providing method is based on the information processing apparatus, and records the action history of the user regarding the visited place where the user has visited in the past in the information processing apparatus, and the information processing based on the action history.
  • the apparatus estimates the action of the user, and outputs a message corresponding to the estimated action of the user from the information processing apparatus.
  • FIG. 1 is a block diagram of an in-vehicle apparatus according to an embodiment of the present invention.
  • An on-vehicle apparatus 1 shown in FIG. 1 is an information processing apparatus mounted and used in a vehicle, and includes a control unit 10, a storage unit 20, a vehicle position detection unit 30, a communication unit 40, a display unit 50, and an operation input unit 60. , And a speaker 70.
  • the vehicle by which the vehicle-mounted apparatus 1 is mounted is called “the own vehicle.”
  • the control unit 10 is configured by a CPU, a ROM, a RAM, and the like (not shown), and performs various processes and operations for operating the in-vehicle apparatus 1.
  • the control unit 10 has functional blocks of an action history recording unit 11, an external information acquisition unit 12, an action estimation condition creation unit 13, an action estimation unit 14, a message output unit 15, and a cancellation unit 16 as its function.
  • the control unit 10 can realize these functional blocks by, for example, developing a program stored in the ROM in the RAM and executing the program by the CPU. The details of these functional blocks included in the control unit 10 will be described later.
  • the storage unit 20 is a non-volatile storage medium, and is configured using, for example, an HDD (hard disk drive), an SSD (solid state drive), a memory card, or the like.
  • Storage part 20 has each database of map DB21, action history DB22, action presumption condition DB23, message DB24. The details of these databases will be described later. Note that part or all of the program executed by the CPU in the control unit 10 may be stored in the storage unit 20.
  • the vehicle position detection unit 30 detects the position of the vehicle (vehicle position), and outputs the detection result to the control unit 10.
  • the vehicle position detection unit 30 is configured using, for example, a GPS sensor or the like. When a GPS sensor is used as the vehicle position detection unit 30, the control unit 10 may calculate the vehicle position based on the GPS signal.
  • the communication unit 40 communicates with an external information device such as a server or a portable terminal (not shown) to acquire various information to be used in the on-vehicle device 1.
  • the communication unit 40 can be connected to a communication line such as a mobile communication network, the Internet, a wireless LAN, Bluetooth (registered trademark), etc., and the weather information, the traffic congestion information, and the driver of the vehicle can be connected via these communication lines.
  • the user's schedule information etc. is acquired from the external information apparatus.
  • these information which the communication part 40 acquires is called "external information.”
  • the display unit 50 displays various images and videos according to the control of the control unit 10.
  • Display unit 50 is configured using, for example, a liquid crystal display.
  • the operation input unit 60 receives an operation input from the user and outputs operation information according to the content of the operation to the control unit 10.
  • the operation input unit 60 includes, for example, a touch panel integrated with the display unit 50 and various switches.
  • the speaker 70 outputs various sounds in accordance with the control of the control unit 10.
  • the action history recording unit 11 acquires the action history of the user regarding a place (hereinafter referred to as a “visited place”) to which the user who is the driver of the own vehicle has visited in the past, and stores the action history in the storage unit 20. Record as DB22. Specifically, the action history recording unit 11 acquires an ignition signal of the own vehicle, determines that the user has got on the own vehicle when the ignition signal is turned on, and when the ignition signal is turned off, the user takes the self Judged that the vehicle got off. Then, according to the timing of getting on or off, the current date and time and vehicle position, and the type of facility corresponding to the vehicle position are specified and recorded in the action history DB 22.
  • a place hereinafter referred to as a “visited place”
  • FIG. 2 is a diagram showing an example of the action history DB 22.
  • the action history DB 22 has fields of trip ID 221, date and time 222, boarding / dismounting 223, position 224, POI 225, and destination 226.
  • FIG. 2A shows an example of the action history DB 22 when, for example, the user goes from work at home to work and returns to work after work.
  • FIG. 2B shows an example of the action history DB 22 when, for example, the user leaves home and visits a convenience store and then goes to a golf course.
  • the trip ID 221 stores an ID number for managing, as one trip, a series of action histories from when the user leaves home to when he returns to home. That is, when the user has visited a plurality of places before leaving home and returning to home, the same ID number is assigned to the trip ID 221 for each record of the action history DB 22 representing each visited place. Stored.
  • the date and time when the record is recorded in the action history DB 22 is stored. That is, the value of the date and time 222 in the record recorded in response to the turning on of the ignition signal represents the departure date and time when the user got on the vehicle and left the visited place corresponding to the record. On the other hand, the value of the date and time 222 in the record recorded according to the turning-off of the ignition signal represents the arrival date and time when the user arrived at the visited place corresponding to the record and got off the vehicle.
  • the boarding / dismounting 223 stores a value indicating whether the record is recorded in the behavior history DB 22 when the user gets in or out of the vehicle. Specifically, in the record recorded in response to the turning on of the ignition signal, “boarding” indicating that it was recorded when the user got in is stored in the boarding / dismounting 223. On the other hand, in the record recorded in response to the turning-off of the ignition signal, “disembarking” representing that the user has recorded when disembarking is stored in the boarding / dismounting 223.
  • the position 224 stores a value indicating the position of the visited place corresponding to the record, for example, latitude and longitude indicating the position coordinates of the visited place. Specifically, the position of the vehicle when the record is recorded in the action history DB 22 is stored in the position 224 as a value indicating the position of the visited place.
  • the POI 225 stores types of facilities (POI) of visited places corresponding to the record, for example, "home”, “working place”, “golf course”, “convenience store” and the like.
  • the action history recording unit 11 refers to the map DB 21 to identify a facility corresponding to the vehicle position when the record is recorded in the action history DB 22 and stores the type of the facility in the POI 225.
  • a specific facility name such as “A golf course” may be stored in the POI 225.
  • the determination may be made based on the information of the home and the place of work registered beforehand by the user, or by analyzing the action history DB 22.
  • the destination 226 stores a value indicating whether the visited place corresponding to the record is set as the destination.
  • the on-vehicle apparatus 1 has a car navigation function of searching for a route from the departure place to the destination set using the map DB 21 and guiding the host vehicle to the destination.
  • the action history recording unit 11 determines that the visited place corresponding to the record is the destination in the record recorded in the action history DB 22 after arrival at the destination.
  • a predetermined flag value indicating that it is set to is stored in the destination 226.
  • “O” indicating that the flag is set is stored in the destination 226 of the record of the first line where the POI 225 is “A golf course”. That is, it can be understood that the user has driven the vehicle to the A golf course by using the car navigation function in which the A golf course is set as the destination.
  • the action history recording unit 11 acquires information of the content as described above as the action history of the user regarding the visited place, and records the information in the action history DB 22. At this time, as illustrated in FIG. 2, it is preferable that the action history recording unit 11 record a newer action history in a higher rank record in the action history DB 22. In this way, when reading out the action history from the action history DB 22, it becomes easy to preferentially read out a new action history. Furthermore, about the action history which passed for a fixed period or more, you may delete from action history DB22.
  • the external information acquisition unit 12 communicates with the external information device using the communication unit 40 to externalize the information on the place where the user is going to go (hereinafter referred to as “destination place”) and the schedule information of the user. Get as. For example, weather information of a destination location, congestion information of a road between the vehicle position and the destination location, and the like are acquired as external information regarding the destination location. Further, the schedule information of the user is acquired as external information, for example, information registered in advance by the user in the server or the portable terminal.
  • the action estimation condition creating unit 13 estimates an action of the user based on the action history of the user recorded in the action history DB 22 or the external information acquired by the external information acquisition unit 12. Create For example, in the action history DB 22, when the action history indicating that the user has arrived at a specific facility is regularly recorded in substantially the same time zone over a certain number of days in a week, the facility It is a user's work place, and it can be estimated that the user will come to work at that time zone in the future. In addition, when an action history indicating that the user has arrived at a specific facility is regularly recorded, it can be estimated that the user will regularly go to the facility in the future.
  • the action estimation condition creating unit 13 analyzes the action history DB 22 and extracts the action history pattern of the user for each action content, thereby estimating the action according to the action content for the destination place where the user is going to go Conditions can be created. At this time, weather information and traffic jam information acquired as external information may be combined. Furthermore, also from the user's schedule information acquired as external information, it is possible to create an action estimation condition according to the action content for the destination place where the user is going to go.
  • the behavior estimation condition created by the behavior estimation condition creation unit 13 is recorded in the behavior estimation condition DB 23 in the storage unit 20.
  • FIG. 3 is a diagram showing an example of the action estimation condition DB 23.
  • the action estimation condition DB 23 has fields of an action type 231, an action content 232, and a condition 233.
  • a value indicating whether the record represents an action estimation condition for the action immediately before the user or the action for the future is stored. Specifically, in the record representing the action estimation condition used to estimate the action immediately before the user, “immediately” is stored in the action type 231, and the record representing the action estimation condition used to estimate the user's future action The “future” is stored in the action type 231.
  • the action content 232 stores specific action content of the user estimated by the record, such as “golf”, “shopping”, “lunch”, “going to work” and the like.
  • the action content estimated to be performed by the user immediately before is stored in the action content 232, and in the record in which the action type 231 is “future”
  • the estimated action content is stored in the action content 232.
  • the conditions 233 store the contents of specific conditions for selecting the record as an estimation result for the user's action.
  • the condition 233 includes, for example, the type of facility (POI), date and time, stay time, content of weather forecast for a specific area, content of traffic condition for a specific road, and the like.
  • POI type of facility
  • the action type 231 is “immediately before”
  • the content of the condition set in advance in the in-vehicle apparatus 1 is stored in the condition 233.
  • the action type 231 is “future”
  • the content of the action estimation condition created by the action estimation condition creation unit 13 is stored in the condition 233.
  • the behavior estimation condition creating unit 13 When the behavior estimation condition creating unit 13 creates the behavior estimation condition, it stores “future” in the behavior type 231, and stores a record in which the specific content is stored in the condition 233 in the behavior estimation condition DB 23.
  • the action contents represented by the action estimation condition stored in the action estimation condition DB 23 correspond to the messages stored in the message DB 24, respectively. Therefore, in the action estimation condition DB 23, the record initialized in association with the message DB 24 is stored in advance, and when the action estimation condition is created by the action estimation condition creation unit 13, the condition 233 is updated according to the content You may do so.
  • the action estimation unit 14 estimates the action of the user based on the action history of the user recorded in the action history DB 22 and the action estimation condition recorded in the action estimation condition DB 23. Specifically, a record of the action history regarding the latest visited place recorded in the action history DB 22 and each record of the action estimation condition recorded in the action estimation condition DB 23 are compared, and either action estimation Determine if the condition is met. At this time, external information acquired by the external information acquisition unit 12 may be used as needed. As a result, when the action history regarding the latest visited place satisfies any one of the action estimation conditions, it is estimated that the user has performed action content corresponding to the action estimation condition immediately before or after.
  • whether the action is the last action or the future action can be determined based on whether the action type 231 of the record in the action estimation condition DB 23 is “immediately before” or “future”.
  • the action estimation part 14 can estimate not only the action of a user's last action but the action which the user took at any time in the past, below, the action which the user which the action estimation part 14 estimates estimates was performed in the past Is described as the last action.
  • the message output unit 15 outputs a message corresponding to the action of the user estimated by the action estimation unit 14 by voice via the speaker 70 based on the message DB 24.
  • the message DB 24 stores messages corresponding to the action content for each of the action estimation conditions stored in the action estimation condition DB 23.
  • the message output unit 15 extracts a message corresponding to the action content from the message DB 24. Then, the voice of the extracted message is reproduced and output from the speaker 70.
  • FIG. 4 is a diagram showing an example of the message DB 24. As shown in FIG. The message DB 24 has fields of a message ID 241, an action type 242, an action content 243, a message 244, an output timing 245, and a cancel 246.
  • the message ID 241 stores an ID number corresponding to the record.
  • the action type 242 stores a value indicating whether the record represents a message for the user's last action or a future action. Specifically, “preceding” is stored in the action type 242 in the record representing the message for the user's last action, and “future” is stored in the action type 241 in the record representing the user's future message.
  • the action type 242 corresponds to the action type 231 in the action estimation condition DB 23 of FIG. 3.
  • the action content 243 stores, for example, “golf”, “shopping”, “lunch”, “going to work”, and the like as the estimation result of the specific action content of the user for whom the message output by the record is performed.
  • the action content 243 corresponds to the action content 232 in the action estimation condition DB 23 of FIG. 3. That is, in the record in which the action type 242 is "immediately", the action content presumed to be performed by the user immediately before is stored in the action content 243 as the output target of the message by the record, and the action type 242 is "future" In the record, the action content estimated to be performed by the user in the future is stored in the action content 243 as an output target of the message by the record.
  • the content of the message output from the message output unit 15 is stored in the message 244 according to the record.
  • the contents of the message 244 are preset for each record in accordance with the combination of the action type 242 and the contents of the action content 243. For example, in the first record where the action type 242 is “immediately before” and the action content 243 is “golf”, “a good score is given as a message when it is estimated that the user has stayed at the golf course immediately before Content is stored in the message 244. Similarly for the other records, appropriate message content is stored in the message 244 for each user's action timing (immediately or later) and action content.
  • the output timing 245 stores the timing at which the message output unit 15 outputs a message according to the record. For example, in a record in which the action content 243 is "meeting", information indicating 10 minutes before the scheduled meeting start time as a message output timing is output in order to output a message at an appropriate timing before the start of the conference. It is stored at timing 245. In the case of a record in which nothing is defined at the output timing 245, immediately after the action estimation unit 14 estimates the action of the user, that is, immediately after the action estimation unit 14 determines that any action estimation condition is satisfied. Output a message. For example, in a record in which the action content 243 is “purchase present”, nothing is specified in the output timing 245 in order to output a message immediately after the user's action is estimated. Thereby, the message can be output at an appropriate timing according to the user's future behavior.
  • the cancel 246 stores a value indicating whether the user has canceled the message of the record.
  • the message output unit 15 outputs a message
  • the user determines that the message is unnecessary from now on, the user can instruct cancellation of the message.
  • a predetermined flag value is stored in the cancellation 246 of the record corresponding to the message. If the flag is set in the cancel 246, the message output unit 15 determines that the message by the record is unnecessary for the user, and does not output the message thereafter.
  • “o” indicating that the flag is set is stored in the cancellation 246 of the third line of the record in which the value of the message ID 241 is 3. That is, it can be understood that the user has determined that the message represented by this record is unnecessary.
  • the message output unit 15 matches the action type 231 and the action content 232 of the record, respectively. Records in which the content is stored in the action type 242 and the action content 243 are searched in the message DB 24. Then, by outputting from the speaker 70 a voice based on the content of the message 244 of the retrieved record, the message output according to the action estimation result is performed. However, as described above, when the flag is set in the cancel 246 in the retrieved record, the message is not output.
  • the cancel unit 16 sets a flag for the cancel 246 of the action estimation condition message DB 24 shown in FIG. 4 according to the user's cancel instruction. As a result, the cancel unit 16 prevents the message output unit 15 from outputting the message canceled by the user once.
  • the user can issue a cancellation instruction to the cancellation unit 16 by performing a predetermined operation using the operation input unit 60.
  • FIG. 5 is a diagram showing a process flow of the control unit 10.
  • step S10 the control unit 10 determines whether the ignition signal of the host vehicle is turned on. If the ignition signal of the host vehicle is turned on, the process proceeds to step S20. If the ignition signal is not turned on, the process proceeds to step S100.
  • step S20 the control unit 10 acquires the current position of the vehicle from the vehicle position detection unit 30.
  • step S30 the control unit 10 refers to the map DB 21 to identify a facility (POI) corresponding to the current position of the vehicle acquired in step S20.
  • POI facility
  • step S40 the control unit 10 records the user's action history in the action history DB 22 by the action history recording unit 11 based on the current position of the host vehicle acquired in step S20 and the facility specified in step S30.
  • the action history recording unit 11 uses the current date and time as the date and time 222, “rides in” the boarding / dismounting 223, a coordinate value corresponding to the current position of the vehicle at the position 224, and step S30 for the POI 225.
  • the record which set the kind of the facility specified by each is recorded on action log
  • step S ⁇ b> 50 the control unit 10 performs an action estimation process by the action estimation unit 14.
  • the action estimation process the action performed immediately before by the user or the action performed by the user in the future is estimated.
  • the details of the action estimation process in step S50 will be described later with reference to the flowchart in FIG.
  • step S60 the control unit 10 determines whether or not the action of the user can be estimated by the action estimation process of step S50. If the user's action can be estimated, the process proceeds to step S70. If the user's action can not be estimated, that is, if any estimation result is not obtained in the action estimation process of step S50, the process proceeds to step S140.
  • step S ⁇ b> 70 the control unit 10 causes the message output unit 15 to specify a message corresponding to the user's action estimation result.
  • the message output unit 15 compares the contents of the action type 242 and the action content 243 with respect to the contents of the action type 231 and the action content 232 in the record of the action estimation condition DB 23 representing the user's action estimated in step S50. Extract the records that respectively match from the message DB 24. Then, by referring to the contents of the message 244 in the extracted record, the message for the user's action result is specified.
  • step S80 the control unit 10 determines whether a cancel instruction from the user for the message identified in step S70 has been received.
  • the control unit 10 refers to the cancel 246 in the record of the message DB 24 representing the message identified in step S70, and determines whether or not a flag is set here to determine whether or not there is a cancel instruction for the message. judge.
  • the flag is set in the cancel 246, it is determined that the cancel instruction has been received, and the process proceeds to step S140 without outputting a message.
  • the flag is not set in the cancel 246, it is determined that the cancel instruction has not been received, and the process proceeds to step S90.
  • step S90 the control unit 10 causes the message output unit 15 to output the message specified in step S70 from the speaker 70.
  • the message output at timing other than immediately after the user's action is estimated is specified at the output timing 245 of the record extracted at step S70, instead of outputting the message, according to the specified timing.
  • Set the output timing In this case, at the set output timing, the message output unit 15 outputs a message from the speaker 70.
  • step S100 the control unit 10 determines whether the ignition signal of the host vehicle is turned off. If the ignition signal of the host vehicle is off, the process proceeds to step S110. If the ignition signal is not off, the process returns to step S10.
  • step S110 the control unit 10 acquires the current position of the vehicle from the vehicle position detection unit 30.
  • step S120 the control unit 10 refers to the map DB 21 to specify a facility (POI) corresponding to the current position of the host vehicle acquired in step S110.
  • POI facility
  • step S130 the control unit 10 causes the action history recording unit 11 to record the user's action history in the action history DB 22 based on the current position of the vehicle acquired in step S110 and the facility specified in step S120. .
  • the action history recording unit 11 uses the current date and time as the date and time 222, “disembarking” for getting on and off the vehicle 223, coordinate values corresponding to the current position of the vehicle at the position 224, and step S30 for the POI 225.
  • the record which set the kind of the facility specified by each is recorded on action log
  • a flag is set in the destination 226.
  • step S140 the control unit 10 performs an action estimation condition creation process by the action estimation condition creation unit 13.
  • an action estimation condition according to the user's action history up to now is created and recorded in the action estimation condition DB 23.
  • the details of the action inference condition creating process in step S140 will be described later with reference to the flowchart in FIG. After the process of step S140 is performed, the flowchart of FIG. 5 ends.
  • FIG. 6 is a flowchart of the action estimation process executed in step S50 of FIG.
  • step S51 the action estimation unit 14 reads from the action history DB 22 the action history at the time of getting on immediately before getting on and getting off. Specifically, among the records recorded in the action history DB 22, the highest-ranked record in which the getting on / off 223 is "getting in” is read as the action history at the time of getting on immediately before. This record is a record recorded in the action history DB 22 at the immediately preceding step S40. Further, among the records recorded in the action history DB 22, the topmost record in which the getting on / off 223 is “getting off” is read as the action history at the time of the last getting off.
  • step S52 the action estimation unit 14 calculates the stay time of the user at the facility corresponding to the current position from the action history at the time of getting on and getting off immediately before the load read in step S51. Specifically, the difference between the value of the date and time 222 of the record read as the action history at the time of the last ride and the value of the date and time 222 of the record read as the action history at the last alighting is obtained Calculate the time.
  • step S53 the behavior estimation unit 14 acquires external information using the external information acquisition unit 12.
  • weather information and traffic information on the destination location, schedule information of the user, and the like are acquired as external information.
  • it can be determined from the action estimation condition DB 23 as to which place is the destination place to acquire the weather information and the traffic jam information. That is, when there is a record in which the condition of the weather forecast or traffic jam information for any place is defined by the condition 233 in the action estimation condition DB 23, the weather information or traffic jam information matching the conditions is related to the destination location. It may be acquired as weather information or traffic congestion information.
  • step S54 the action estimation unit 14 estimates an action using the action history at the time of getting in and off immediately before being read in step S51, the stay time calculated in step S52, and the external information acquired in step S53. It is determined whether any one of the action estimation conditions recorded in the condition DB 23 is satisfied.
  • the condition defined by the condition 233 of each record recorded in the action estimation condition DB 23 is referred to, and it is determined whether the immediately preceding action history matches any one of the conditions. As a result, if there is a matching condition, the process proceeds to step S55. If not, the process of FIG. 6 ends.
  • step S55 the action estimation unit 14 identifies an action type and an action content indicating a result of the user's action estimation.
  • a record whose condition 233 is determined to match the previous action history in step S 54 is specified in the action estimation condition DB 23, and the contents of the action type 231 and the action content 232 of the record are referenced.
  • the action type indicating which of the user's last action and the future action is the estimation result and the specific action content are specified.
  • step S55 is executed, the process of FIG. 6 is ended.
  • FIG. 7 is a flowchart of the action estimation condition creation process executed in step S140 of FIG.
  • step S141 the action estimation condition creation unit 13 reads the action history of the user recorded so far from the action history DB 22. At this time, only the action history recorded in a specific period may be read.
  • step S142 the action estimation condition creation unit 13 determines whether or not there is regularity in the action history read in step S141.
  • the presence or absence of regularity in the action history can be determined in consideration of the recording frequency of the action history for the same facility, the time zone, the calendar, the regionality, and the like.
  • step S143 the action estimation condition creating unit 13 determines whether or not a record corresponding to the regularity determined from the action history read in step S142 exists in the message DB 24.
  • a record in which the action content 243 corresponding to the POI 225 of the action history that the action type 242 is “future” and is determined to be regular in step S142 is set in the records recorded in the message DB 24 Determine if there is.
  • the process proceeds to step S144, and when it is determined that it does not, the process proceeds to step S145.
  • step S144 the action estimation condition creation unit 13 creates an action estimation condition based on the regularity determined in step S142.
  • the action estimation condition as defined in the condition 233 of the record shown in the fifth to seventh lines respectively in the action estimation condition DB 23 illustrated in FIG. 3 is created.
  • the condition of the weather forecast in the sixth record and the condition of the congestion information in the seventh record are determined to be the position of the travel destination indicated by the position 224 of the action history determined to be regular, and the regular It may be determined from the action content 243 of the message DB 24 corresponding to the POI 225 of the action history.
  • step S145 the action estimation condition creation unit 13 determines the presence or absence of the schedule information registered by the user.
  • the external information device such as a server or a portable terminal connected to the in-vehicle device 1 via the communication unit 40
  • the process proceeds to step S146, and when not registered, the step S148 Proceed to
  • step S146 the behavior estimation condition creating unit 13 uses the external information acquisition unit 12 to acquire the schedule information of the user as external information.
  • step S147 the action estimation condition creating unit 13 creates an action estimation condition based on the schedule information of the user acquired in step S146.
  • the action estimation condition as defined in the condition 233 of the record shown in the eighth and ninth lines respectively in the action estimation condition DB 23 illustrated in FIG. 3 is created according to the acquired schedule information.
  • step S148 the action estimation condition creating unit 13 records the action estimation conditions created in steps S144 and S147 in the action estimation condition DB 23. After step S148 is executed, the process of FIG. 7 ends. In addition, when neither step S144 nor step S147 is performed, ie, an action estimation condition can not be created, the process of FIG. 7 is complete
  • the in-vehicle apparatus 1 which is an information processing apparatus, records in the action history DB 22 the action history of the user regarding the visited place visited by the user in the past, and the action history recorded in the action history DB 22 And a message output unit 15 for outputting a message according to the user's behavior estimated by the behavior estimation unit 14. Since this is done, it is possible to provide user-friendly information.
  • the action estimation unit 14 can estimate the past action of the user.
  • the action history recorded in the action history DB 22 includes the arrival date and time and the departure date and time of the visited place indicated by the date and time 222, and the facility type of the visited place indicated by the POI 225.
  • the action estimation unit 14 estimates the past action of the user at the visited place based on the action history. Since this is done, it is possible to estimate the past behavior of the user, for example, the behavior immediately before the user, and to provide information according to the estimation result. Therefore, it is possible to provide information comfortable to the user.
  • the action estimation unit 14 can also estimate the future action of the user.
  • the in-vehicle device 1 further includes an action estimation condition creation unit 13 that creates an action estimation condition based on the action history recorded in the action history DB 22.
  • the action estimation unit 14 estimates the future action of the user based on the action estimation condition. Since this is done, it is possible to estimate the user's future behavior and to provide information according to the estimation result. Therefore, it is possible to provide information comfortable to the user.
  • the action estimation condition created by the behavior estimation condition creation unit 13 can include the condition regarding the destination place where the user is going to go.
  • the message output unit 15 outputs a message regarding the destination location. Since this is done, it is possible to output a message that matches the user's future behavior, and to provide useful and comfortable information for the user.
  • the in-vehicle apparatus 1 further includes the external information acquisition unit 12 that acquires information on the destination location where the user is going to go, such as weather information and traffic congestion information, as the external information.
  • the behavior estimation unit 14 can estimate the user's future behavior based on the behavior estimation condition created by the behavior estimation condition creation unit 13 and the information on the destination location acquired by the external information acquisition unit 12. Since this is done, it is possible to estimate the user's future behavior more accurately.
  • the in-vehicle apparatus 1 further includes the external information acquisition unit 12 that acquires the schedule information of the user as the external information.
  • the action estimation condition creation unit 13 can further create an action estimation condition based on the schedule information acquired by the external information acquisition unit 12. Since this is done, it is possible to more accurately estimate the user's future behavior using the created behavior estimation condition.
  • the message output unit 15 suppresses the output of the canceled message when the output of the message is canceled by the user. Since this is done, it is possible to further improve the user's usability by not outputting any more messages that the user has determined to be unnecessary.
  • the message output unit 15 can change the output timing according to the content of the message based on the information stored in the output timing 245. In this way, it is possible to output messages having different contents according to the user's future behavior at appropriate timing, which can further improve the user's usability.
  • the configuration of the in-vehicle apparatus according to the present embodiment is the same as the configuration of the in-vehicle apparatus according to the first embodiment shown in FIG. 1 except for the structure of the message DB 24 in the storage unit 20. Therefore, in the following, differences in the structure of the message DB 24 will be mainly described.
  • FIG. 8 is a diagram showing an example of the message DB 24A according to the second embodiment of the present invention.
  • the message DB 24A further has an attribute 247 in addition to the fields of the message ID 241, the action type 242, the action content 243, the message 244, the output timing 245, and the cancel 246 described in the first embodiment.
  • the attribute 247 stores a value indicating the attribute of the message according to the record.
  • any one of the attributes “A”, “B”, “C”, “D”, and “E” is set in the attribute 247 of each record.
  • the attribute to which each record belongs may be set in advance according to the action content 243 or the content of the message 244, or may be arbitrarily set by the user.
  • the message output unit 15 When outputting a message in step S90 in the flowchart of FIG. 5, the message output unit 15 refers to the attribute 247 and extracts each record having the same attribute as the message identified in step S70 from the message DB 24. Then, whether or not the flag is set in the cancel 246 in any of the extracted records is checked, and if the flag is set, the output of the message is suppressed. As a result, not only the canceled message but also a message having the same attribute as that of the canceled message is not output by the message output unit 15. For example, in the example of the message DB 24A of FIG.
  • the message output unit 15 further suppresses the output of the message having the same attribute as the canceled message. Since this is done, it is possible to further improve the user's usability by not outputting any message similar to the message that the user has determined to be unnecessary.
  • the message output unit 15 may output the message in a form other than voice, such as screen display by the display unit 50. Also, the voice and the screen display may be switched as appropriate. For example, a message having a predetermined number of characters or less may be output by voice, and a longer message may be output by screen display. Furthermore, images and videos may be combined.
  • a part or all of the functions of the in-vehicle apparatus 1 may be realized by a server.
  • the in-vehicle apparatus in that case may have at least a function of performing information communication with the server and a function of outputting a message.
  • the on-vehicle apparatus detects the on / off of the ignition signal of the own vehicle and transmits the position of the own vehicle to the server, and the receiving unit for receiving the message transmitted from the message output unit 15 of the server; It can be configured by a message reproduction unit that reproduces the message and presents it to the user.
  • the message output unit 15 may continuously output each message. Also, priority may be set for each message, and messages with high priority may be output with priority.
  • the message content may be transmitted from the in-vehicle apparatus 1 to an information terminal such as a smartphone possessed by the user, and the message may be output from the information terminal.
  • an information terminal such as a smartphone possessed by the user
  • the message may be output from the information terminal.
  • a communication line such as a wireless LAN or Bluetooth
  • the user instructs to cancel the message using the operation input unit 60.
  • the user may instruct to cancel the message using another input unit, for example, voice or gesture.
  • the on-vehicle apparatus may include a microphone for detecting a voice, a camera for detecting a gesture, or the like, or may be mounted on a vehicle.

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Abstract

This information processing device comprises: a behavior history recording unit that records the behavior history of a user relating to an already-visited place which the user has previously visited; a behavior estimation unit that estimates the user's behavior on the basis of the behavior history; and a message output unit that outputs a message according to the user's behavior which has been estimated by the behavior estimation unit.

Description

情報処理装置、情報提供方法Information processing apparatus, information providing method
 本発明は、情報処理装置および情報提供方法に関する。 The present invention relates to an information processing apparatus and an information providing method.
 近年、車両の運転者がこれから行うであろう行動を予測し、その予測結果に応じた情報提供を運転者に対して行うことで、運転者にとって有益な情報を提供する技術が知られている。特許文献1には、ユーザの行動を検知する行動検知部と、状況を検知する状況検知部と、状況とユーザの行動とを対応付けたユーザの行動履歴を記憶した履歴記憶部と、前記状況検知部にて検知した現在の状況と前記履歴記憶部に記憶された行動履歴とに基づいて、ユーザが次に行う行動を予測する行動予測部と、前記行動検知部からの検知情報に基づいて、ユーザが前記行動予測部にて求めた予測行動をとったか否かを判定する判定部と、前記判定部にて、ユーザが前記予測行動をとらなかったと判定されたときに、ユーザに対して、その旨を通知する通知部と、を備える情報提示装置が開示されている。 In recent years, there is known a technology for providing useful information to the driver by predicting the behavior that the driver of the vehicle will take in the future and providing the driver with information according to the predicted result. . Patent Document 1 includes an action detection unit that detects a user's action, a situation detection unit that detects a situation, a history storage unit that stores a user's action history in which the situation and the user's action are associated, Based on the current situation detected by the detection unit and the action history stored in the history storage unit, an action prediction unit that predicts an action to be taken next by the user, and detection information from the action detection unit A determination unit that determines whether the user has taken the predicted action determined by the action prediction unit; and the determination unit determines that the user has not taken the predicted action with respect to the user. An information presentation apparatus is disclosed that includes: a notification unit that notifies that effect.
日本国特開2010-185932号公報Japanese Patent Application Laid-Open No. 2010-185932
 特許文献1に記載された技術では、ユーザにとって使い心地の良い情報提供を行うことができない。 According to the technology described in Patent Document 1, it is not possible to provide user-friendly information.
 本発明による情報処理装置は、ユーザが過去に訪問した既訪問場所に関する前記ユーザの行動履歴を記録する行動履歴記録部と、前記行動履歴に基づいて前記ユーザの行動を推定する行動推定部と、前記行動推定部により推定された前記ユーザの行動に応じたメッセージを出力するメッセージ出力部と、を備える。
 本発明による情報提供方法は、情報処理装置によるものであって、ユーザが過去に訪問した既訪問場所に関する前記ユーザの行動履歴を前記情報処理装置に記録し、前記行動履歴に基づいて前記情報処理装置が前記ユーザの行動を推定し、推定した前記ユーザの行動に応じたメッセージを前記情報処理装置から出力する。
The information processing apparatus according to the present invention comprises: an action history recording unit recording an action history of the user regarding a visited place visited by the user in the past; an action estimation unit estimating the action of the user based on the action history; And a message output unit that outputs a message according to the user's action estimated by the action estimation unit.
The information providing method according to the present invention is based on the information processing apparatus, and records the action history of the user regarding the visited place where the user has visited in the past in the information processing apparatus, and the information processing based on the action history. The apparatus estimates the action of the user, and outputs a message corresponding to the estimated action of the user from the information processing apparatus.
 本発明によれば、ユーザにとって使い心地の良い情報提供を行うことができる。 According to the present invention, it is possible to provide information comfortable to the user.
本発明の一実施形態に係る車載装置の構成図Configuration of in-vehicle device according to one embodiment of the present invention 行動履歴DBの例を示す図Diagram showing an example of action history DB 行動推定条件DBの例を示す図Diagram showing an example of an action estimation condition DB メッセージDBの例を示す図Diagram showing an example of message DB 制御部の処理フローを示す図Diagram showing the processing flow of the control unit 行動推定処理のフローチャートFlow chart of action estimation process 行動推定条件作成処理のフローチャートFlow chart of action estimation condition creation processing 本発明の第2の実施形態に係るメッセージDBの例を示す図A figure showing an example of message DB concerning a 2nd embodiment of the present invention
(第1の実施の形態)
 以下、本発明の第1の実施形態について図面を参照して説明する。図1は、本発明の一実施形態に係る車載装置の構成図である。図1に示す車載装置1は、車両に搭載されて使用される情報処理装置であり、制御部10、記憶部20、自車位置検出部30、通信部40、表示部50、操作入力部60、およびスピーカ70を備える。なお、以下では車載装置1が搭載されている車両を「自車両」と称する。
First Embodiment
Hereinafter, a first embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram of an in-vehicle apparatus according to an embodiment of the present invention. An on-vehicle apparatus 1 shown in FIG. 1 is an information processing apparatus mounted and used in a vehicle, and includes a control unit 10, a storage unit 20, a vehicle position detection unit 30, a communication unit 40, a display unit 50, and an operation input unit 60. , And a speaker 70. In addition, below, the vehicle by which the vehicle-mounted apparatus 1 is mounted is called "the own vehicle."
 制御部10は、不図示のCPU、ROM、RAM等により構成されており、車載装置1を動作させるための様々な処理や演算を行う。制御部10は、その機能として、行動履歴記録部11、外部情報取得部12、行動推定条件作成部13、行動推定部14、メッセージ出力部15、およびキャンセル部16の各機能ブロックを有する。制御部10は、たとえばROMに記憶されているプログラムをRAMに展開してCPUが実行することで、これらの機能ブロックを実現することができる。なお、制御部10が有するこれらの機能ブロックの詳細については、後で説明する。 The control unit 10 is configured by a CPU, a ROM, a RAM, and the like (not shown), and performs various processes and operations for operating the in-vehicle apparatus 1. The control unit 10 has functional blocks of an action history recording unit 11, an external information acquisition unit 12, an action estimation condition creation unit 13, an action estimation unit 14, a message output unit 15, and a cancellation unit 16 as its function. The control unit 10 can realize these functional blocks by, for example, developing a program stored in the ROM in the RAM and executing the program by the CPU. The details of these functional blocks included in the control unit 10 will be described later.
 記憶部20は、不揮発性の記憶媒体であり、たとえばHDD(ハードディスクドライブ)、SSD(ソリッドステートドライブ)、メモリカード等を用いて構成される。記憶部20は、地図DB21、行動履歴DB22、行動推定条件DB23、メッセージDB24の各データベースを有する。これらのデータベースの詳細については、後で説明する。なお、制御部10においてCPUが実行するプログラムの一部または全部を記憶部20に格納してもよい。 The storage unit 20 is a non-volatile storage medium, and is configured using, for example, an HDD (hard disk drive), an SSD (solid state drive), a memory card, or the like. Storage part 20 has each database of map DB21, action history DB22, action presumption condition DB23, message DB24. The details of these databases will be described later. Note that part or all of the program executed by the CPU in the control unit 10 may be stored in the storage unit 20.
 自車位置検出部30は、自車両の位置(自車位置)を検出し、その検出結果を制御部10に出力する。自車位置検出部30は、たとえばGPSセンサ等を用いて構成される。なお、自車位置検出部30としてGPSセンサを用いる場合、GPS信号に基づく自車位置の計算を制御部10において行ってもよい。 The vehicle position detection unit 30 detects the position of the vehicle (vehicle position), and outputs the detection result to the control unit 10. The vehicle position detection unit 30 is configured using, for example, a GPS sensor or the like. When a GPS sensor is used as the vehicle position detection unit 30, the control unit 10 may calculate the vehicle position based on the GPS signal.
 通信部40は、不図示のサーバや携帯端末等の外部情報装置との間で通信を行い、車載装置1において利用するための様々な情報を取得する。通信部40は、たとえば移動体通信網、インターネット、無線LAN、ブルートゥース(登録商標)等の通信回線と接続可能であり、これらの通信回線を介して、天候情報、渋滞情報、自車両の運転者であるユーザのスケジュール情報などを外部情報装置から取得する。なお、以下では通信部40が取得するこれらの情報を「外部情報」と称する。 The communication unit 40 communicates with an external information device such as a server or a portable terminal (not shown) to acquire various information to be used in the on-vehicle device 1. The communication unit 40 can be connected to a communication line such as a mobile communication network, the Internet, a wireless LAN, Bluetooth (registered trademark), etc., and the weather information, the traffic congestion information, and the driver of the vehicle can be connected via these communication lines. The user's schedule information etc. is acquired from the external information apparatus. In addition, below, these information which the communication part 40 acquires is called "external information."
 表示部50は、制御部10の制御に応じて様々な画像や映像を表示する。表示部50は、たとえば液晶ディスプレイを用いて構成される。 The display unit 50 displays various images and videos according to the control of the control unit 10. Display unit 50 is configured using, for example, a liquid crystal display.
 操作入力部60は、ユーザからの操作入力を受けつけてその操作内容に応じた操作情報を制御部10に出力する。操作入力部60は、たとえば表示部50と一体化されたタッチパネルや各種スイッチ類により構成される。 The operation input unit 60 receives an operation input from the user and outputs operation information according to the content of the operation to the control unit 10. The operation input unit 60 includes, for example, a touch panel integrated with the display unit 50 and various switches.
 スピーカ70は、制御部10の制御に応じて様々な音声を出力する。 The speaker 70 outputs various sounds in accordance with the control of the control unit 10.
 次に、制御部10の各機能ブロックおよび記憶部20の各データベースについて説明する。 Next, each functional block of the control unit 10 and each database of the storage unit 20 will be described.
 行動履歴記録部11は、自車両の運転者であるユーザが過去に訪問したことのある場所(以下、「既訪問場所」と称する)に関するユーザの行動履歴を取得し、記憶部20に行動履歴DB22として記録する。具体的には、行動履歴記録部11は、自車両のイグニッション信号を取得して、イグニッション信号がオンされるとユーザが自車両に乗車したと判断し、イグニッション信号がオフされるとユーザが自車両から降車したと判断する。そして、乗車または降車のタイミングに応じて、そのときの日時および自車位置と、自車位置に対応する施設の種類とを特定し、行動履歴DB22に記録する。 The action history recording unit 11 acquires the action history of the user regarding a place (hereinafter referred to as a “visited place”) to which the user who is the driver of the own vehicle has visited in the past, and stores the action history in the storage unit 20. Record as DB22. Specifically, the action history recording unit 11 acquires an ignition signal of the own vehicle, determines that the user has got on the own vehicle when the ignition signal is turned on, and when the ignition signal is turned off, the user takes the self Judged that the vehicle got off. Then, according to the timing of getting on or off, the current date and time and vehicle position, and the type of facility corresponding to the vehicle position are specified and recorded in the action history DB 22.
 図2は、行動履歴DB22の例を示す図である。行動履歴DB22は、トリップID221、日時222、乗車/降車223、位置224、POI225、目的地226の各フィールドを有している。なお、図2(a)は、たとえばユーザが自宅から勤務先に行って勤務後に自宅に戻ったときの行動履歴DB22の例を示している。図2(b)は、たとえばユーザが自宅を出発してコンビニに立ち寄ってからゴルフ場に行ったときの行動履歴DB22の例を示している。 FIG. 2 is a diagram showing an example of the action history DB 22. As shown in FIG. The action history DB 22 has fields of trip ID 221, date and time 222, boarding / dismounting 223, position 224, POI 225, and destination 226. FIG. 2A shows an example of the action history DB 22 when, for example, the user goes from work at home to work and returns to work after work. FIG. 2B shows an example of the action history DB 22 when, for example, the user leaves home and visits a convenience store and then goes to a golf course.
 トリップID221には、ユーザが自宅を出発してから自宅に戻るまでの一連の行動履歴を一つのトリップとして管理するためのID番号が格納される。すなわち、ユーザが自宅を出発してから自宅に戻るまでに複数の場所を訪問した場合には、それぞれの既訪問場所を表す行動履歴DB22の各レコードに対して、同一のID番号がトリップID221に格納される。 The trip ID 221 stores an ID number for managing, as one trip, a series of action histories from when the user leaves home to when he returns to home. That is, when the user has visited a plurality of places before leaving home and returning to home, the same ID number is assigned to the trip ID 221 for each record of the action history DB 22 representing each visited place. Stored.
 日時222には、行動履歴DB22において当該レコードが記録されたときの日時が格納される。すなわち、イグニッション信号のオンに応じて記録されたレコードにおける日時222の値は、ユーザが自車両に乗車して当該レコードに対応する既訪問場所を出発した出発日時を表している。一方、イグニッション信号のオフに応じて記録されたレコードにおける日時222の値は、ユーザが当該レコードに対応する既訪問場所に到着して自車両から降車した到着日時を表している。 In the date and time 222, the date and time when the record is recorded in the action history DB 22 is stored. That is, the value of the date and time 222 in the record recorded in response to the turning on of the ignition signal represents the departure date and time when the user got on the vehicle and left the visited place corresponding to the record. On the other hand, the value of the date and time 222 in the record recorded according to the turning-off of the ignition signal represents the arrival date and time when the user arrived at the visited place corresponding to the record and got off the vehicle.
 乗車/降車223には、行動履歴DB22において当該レコードがユーザの乗車時と降車時のどちらに記録されたかを示す値が格納される。具体的には、イグニッション信号のオンに応じて記録されたレコードでは、ユーザの乗車時に記録されたことを表す「乗車」が乗車/降車223に格納される。一方、イグニッション信号のオフに応じて記録されたレコードでは、ユーザの降車時に記録されたことを表す「降車」が乗車/降車223に格納される。 The boarding / dismounting 223 stores a value indicating whether the record is recorded in the behavior history DB 22 when the user gets in or out of the vehicle. Specifically, in the record recorded in response to the turning on of the ignition signal, “boarding” indicating that it was recorded when the user got in is stored in the boarding / dismounting 223. On the other hand, in the record recorded in response to the turning-off of the ignition signal, “disembarking” representing that the user has recorded when disembarking is stored in the boarding / dismounting 223.
 位置224には、当該レコードに対応する既訪問場所の位置を示す値、たとえば既訪問場所の位置座標を示す緯度および経度が格納される。具体的には、行動履歴DB22において当該レコードが記録されたときの自車位置が、既訪問場所の位置を示す値として位置224に格納される。 The position 224 stores a value indicating the position of the visited place corresponding to the record, for example, latitude and longitude indicating the position coordinates of the visited place. Specifically, the position of the vehicle when the record is recorded in the action history DB 22 is stored in the position 224 as a value indicating the position of the visited place.
 POI225には、当該レコードに対応する既訪問場所の施設(POI)の種類、たとえば「自宅」、「勤務先」、「ゴルフ場」、「コンビニ」などが格納される。行動履歴記録部11は、地図DB21を参照することで、行動履歴DB22において当該レコードが記録されたときの自車位置に対応する施設を特定し、その施設の種類をPOI225に格納する。なお、具体的な施設名、たとえば「Aゴルフ場」などをPOI225に格納してもよい。また、自宅や勤務先については、ユーザが予め登録した自宅や勤務先の情報に基づいて判断してもよいし、行動履歴DB22を解析することで判断してもよい。 The POI 225 stores types of facilities (POI) of visited places corresponding to the record, for example, "home", "working place", "golf course", "convenience store" and the like. The action history recording unit 11 refers to the map DB 21 to identify a facility corresponding to the vehicle position when the record is recorded in the action history DB 22 and stores the type of the facility in the POI 225. A specific facility name, such as “A golf course” may be stored in the POI 225. Further, with regard to the home and the place of work, the determination may be made based on the information of the home and the place of work registered beforehand by the user, or by analyzing the action history DB 22.
 目的地226には、当該レコードに対応する既訪問場所が目的地に設定されたか否かを示す値が格納される。具体的には、車載装置1は、地図DB21を用いて出発地から設定された目的地までの経路を探索し、自車両を目的地まで誘導するカーナビゲーション機能を有している。このカーナビゲーション機能をユーザが利用して自車両を運転した場合、行動履歴記録部11は、目的地への到着後に行動履歴DB22に記録するレコードにおいて、当該レコードに対応する既訪問場所が目的地に設定されたことを示す所定のフラグ値を目的地226に格納する。図2(b)の例では、POI225が「Aゴルフ場」である一行目のレコードの目的地226において、フラグが設定されていることを示す「〇」が格納されている。すなわち、ユーザはAゴルフ場を目的地に設定したカーナビゲーション機能を利用して、自車両をAゴルフ場まで運転していたことが分かる。 The destination 226 stores a value indicating whether the visited place corresponding to the record is set as the destination. Specifically, the on-vehicle apparatus 1 has a car navigation function of searching for a route from the departure place to the destination set using the map DB 21 and guiding the host vehicle to the destination. When the user drives the own vehicle using the car navigation function, the action history recording unit 11 determines that the visited place corresponding to the record is the destination in the record recorded in the action history DB 22 after arrival at the destination. A predetermined flag value indicating that it is set to is stored in the destination 226. In the example of FIG. 2B, “O” indicating that the flag is set is stored in the destination 226 of the record of the first line where the POI 225 is “A golf course”. That is, it can be understood that the user has driven the vehicle to the A golf course by using the car navigation function in which the A golf course is set as the destination.
 行動履歴記録部11は、自車両のイグニッション信号がオンまたはオフされる毎に、以上説明したような内容の情報を既訪問場所に関するユーザの行動履歴として取得し、行動履歴DB22に記録する。このとき行動履歴記録部11は、図2で例示したように、新しい行動履歴ほど行動履歴DB22において上位のレコードに記録することが好ましい。このようにすれば、行動履歴DB22から行動履歴を読み出す際に、新しい行動履歴を優先して読み出すことが容易となる。さらに、一定期間以上を経過した行動履歴については、行動履歴DB22から削除してもよい。 Each time the ignition signal of the host vehicle is turned on or off, the action history recording unit 11 acquires information of the content as described above as the action history of the user regarding the visited place, and records the information in the action history DB 22. At this time, as illustrated in FIG. 2, it is preferable that the action history recording unit 11 record a newer action history in a higher rank record in the action history DB 22. In this way, when reading out the action history from the action history DB 22, it becomes easy to preferentially read out a new action history. Furthermore, about the action history which passed for a fixed period or more, you may delete from action history DB22.
 外部情報取得部12は、通信部40を用いた外部情報装置との通信により、ユーザがこれから行こうとしている場所(以下、「行先場所」と称する)に関する情報や、ユーザのスケジュール情報を外部情報として取得する。たとえば、行先場所の天候情報や、自車位置から行先場所までの間にある道路の渋滞情報などを、行先場所に関する外部情報として取得する。また、ユーザのスケジュール情報は、たとえばユーザが予めサーバや携帯端末に登録しておいたものを外部情報として取得する。 The external information acquisition unit 12 communicates with the external information device using the communication unit 40 to externalize the information on the place where the user is going to go (hereinafter referred to as “destination place”) and the schedule information of the user. Get as. For example, weather information of a destination location, congestion information of a road between the vehicle position and the destination location, and the like are acquired as external information regarding the destination location. Further, the schedule information of the user is acquired as external information, for example, information registered in advance by the user in the server or the portable terminal.
 行動推定条件作成部13は、行動履歴DB22に記録されているユーザの行動履歴や、外部情報取得部12により取得された外部情報に基づいて、ユーザの今後の行動を推定するための行動推定条件を作成する。たとえば、行動履歴DB22において、ユーザが特定の施設に到着したことを表す行動履歴が、一週間のうち一定の日数以上でほぼ同じ時間帯に規則的に記録されている場合には、当該施設がユーザの勤務先であり、今後もユーザはその時間帯に勤務先に出勤すると推定できる。また、ユーザが特定の施設に到着したことを表す行動履歴が定期的に記録されている場合には、今後もユーザはその施設に定期的に出かけると推定できる。さらに、ほぼ毎年同じ時期の休日に、同じ地域の施設が目的地に設定されている場合には、その地域を旅行先としてユーザが定期的に旅行を行っていると推定できる。行動推定条件作成部13は、行動履歴DB22を解析してこうした行動内容ごとのユーザの行動履歴パターンを抽出することで、ユーザがこれから行こうとしている行先場所について、その行動内容に応じた行動推定条件を作成することができる。このとき、外部情報として取得された天候情報や渋滞情報を組み合わせてもよい。さらに、外部情報として取得されたユーザのスケジュール情報からも、ユーザがこれから行こうとしている行先場所について、その行動内容に応じた行動推定条件の作成が可能である。行動推定条件作成部13により作成された行動推定条件は、記憶部20において行動推定条件DB23に記録される。 The action estimation condition creating unit 13 estimates an action of the user based on the action history of the user recorded in the action history DB 22 or the external information acquired by the external information acquisition unit 12. Create For example, in the action history DB 22, when the action history indicating that the user has arrived at a specific facility is regularly recorded in substantially the same time zone over a certain number of days in a week, the facility It is a user's work place, and it can be estimated that the user will come to work at that time zone in the future. In addition, when an action history indicating that the user has arrived at a specific facility is regularly recorded, it can be estimated that the user will regularly go to the facility in the future. Furthermore, when facilities of the same area are set as destinations on holidays of the same time almost every year, it can be estimated that the user travels regularly with the area as a travel destination. The action estimation condition creating unit 13 analyzes the action history DB 22 and extracts the action history pattern of the user for each action content, thereby estimating the action according to the action content for the destination place where the user is going to go Conditions can be created. At this time, weather information and traffic jam information acquired as external information may be combined. Furthermore, also from the user's schedule information acquired as external information, it is possible to create an action estimation condition according to the action content for the destination place where the user is going to go. The behavior estimation condition created by the behavior estimation condition creation unit 13 is recorded in the behavior estimation condition DB 23 in the storage unit 20.
 図3は、行動推定条件DB23の例を示す図である。行動推定条件DB23は、行動種別231、行動内容232、条件233の各フィールドを有している。 FIG. 3 is a diagram showing an example of the action estimation condition DB 23. The action estimation condition DB 23 has fields of an action type 231, an action content 232, and a condition 233.
 行動種別231には、当該レコードがユーザの直前の行動と今後の行動のどちらに対する行動推定条件を表しているかを示す値が格納される。具体的には、ユーザの直前の行動の推定に用いられる行動推定条件を表すレコードでは「直前」が行動種別231に格納され、ユーザの今後の行動の推定に用いられる行動推定条件を表すレコードでは「今後」が行動種別231に格納される。 In the action type 231, a value indicating whether the record represents an action estimation condition for the action immediately before the user or the action for the future is stored. Specifically, in the record representing the action estimation condition used to estimate the action immediately before the user, “immediately” is stored in the action type 231, and the record representing the action estimation condition used to estimate the user's future action The “future” is stored in the action type 231.
 行動内容232には、当該レコードにより推定されるユーザの具体的な行動内容、たとえば「ゴルフ」、「買い物」、「昼食」、「出勤」などが格納される。なお、行動種別231が「直前」であるレコードでは、ユーザが直前に行ったと推定される行動内容が行動内容232に格納され、行動種別231が「今後」であるレコードでは、ユーザが今後行うと推定される行動内容が行動内容232に格納される。 The action content 232 stores specific action content of the user estimated by the record, such as “golf”, “shopping”, “lunch”, “going to work” and the like. In the record in which the action type 231 is “immediately before”, the action content estimated to be performed by the user immediately before is stored in the action content 232, and in the record in which the action type 231 is “future” The estimated action content is stored in the action content 232.
 条件233には、当該レコードをユーザの行動に対する推定結果として選択するための具体的な条件の内容が格納される。条件233には、たとえば施設(POI)の種類、日時、滞在時間、特定の地域に対する天気予報の内容、特定の道路に対する交通状況の内容などが含まれる。なお、行動種別231が「直前」であるレコードでは、車載装置1において予め設定された条件の内容が条件233に格納される。一方、行動種別231が「今後」であるレコードでは、行動推定条件作成部13により作成された行動推定条件の内容が条件233に格納される。 The conditions 233 store the contents of specific conditions for selecting the record as an estimation result for the user's action. The condition 233 includes, for example, the type of facility (POI), date and time, stay time, content of weather forecast for a specific area, content of traffic condition for a specific road, and the like. In the record in which the action type 231 is “immediately before”, the content of the condition set in advance in the in-vehicle apparatus 1 is stored in the condition 233. On the other hand, in the record in which the action type 231 is “future”, the content of the action estimation condition created by the action estimation condition creation unit 13 is stored in the condition 233.
 行動推定条件作成部13は、行動推定条件を作成すると、行動種別231に「今後」を格納すると共に、条件233にその具体的な内容をそれぞれ格納したレコードを行動推定条件DB23に保存する。なお、後述するように、行動推定条件DB23に保存される行動推定条件が表す行動内容は、メッセージDB24に保存されるメッセージとそれぞれ対応している。そのため、行動推定条件DB23では、メッセージDB24と対応付けて初期設定されたレコードを予め保存しておき、行動推定条件作成部13により行動推定条件が作成されると、その内容に従って条件233を更新するようにしてもよい。 When the behavior estimation condition creating unit 13 creates the behavior estimation condition, it stores “future” in the behavior type 231, and stores a record in which the specific content is stored in the condition 233 in the behavior estimation condition DB 23. In addition, as will be described later, the action contents represented by the action estimation condition stored in the action estimation condition DB 23 correspond to the messages stored in the message DB 24, respectively. Therefore, in the action estimation condition DB 23, the record initialized in association with the message DB 24 is stored in advance, and when the action estimation condition is created by the action estimation condition creation unit 13, the condition 233 is updated according to the content You may do so.
 行動推定部14は、行動履歴DB22に記録されているユーザの行動履歴と、行動推定条件DB23に記録されている行動推定条件とに基づいて、ユーザの行動を推定する。具体的には、行動履歴DB22に記録されている直近の既訪問場所に関する行動履歴のレコードと、行動推定条件DB23に記録されている行動推定条件の各レコードとを比較し、いずれかの行動推定条件を満たすか否かを判断する。このとき、必要に応じて外部情報取得部12により取得された外部情報を利用してもよい。その結果、直近の既訪問場所に関する行動履歴がいずれかの行動推定条件を満たす場合は、その行動推定条件に対応する行動内容をユーザが直前に行ったか、または今後行うものと推定する。なお、直前の行動か今後の行動かについては、行動推定条件DB23において当該レコードの行動種別231が「直前」と「今後」のいずれであるかにより判断できる。また、行動推定部14はユーザの直前の行動に限らず、過去のいずれかの時点でユーザがとった行動を推定できるが、以下では、行動推定部14が推定するユーザが過去に行った行動は全て直前の行動であるとして説明する。 The action estimation unit 14 estimates the action of the user based on the action history of the user recorded in the action history DB 22 and the action estimation condition recorded in the action estimation condition DB 23. Specifically, a record of the action history regarding the latest visited place recorded in the action history DB 22 and each record of the action estimation condition recorded in the action estimation condition DB 23 are compared, and either action estimation Determine if the condition is met. At this time, external information acquired by the external information acquisition unit 12 may be used as needed. As a result, when the action history regarding the latest visited place satisfies any one of the action estimation conditions, it is estimated that the user has performed action content corresponding to the action estimation condition immediately before or after. It should be noted that whether the action is the last action or the future action can be determined based on whether the action type 231 of the record in the action estimation condition DB 23 is “immediately before” or “future”. Moreover, although the action estimation part 14 can estimate not only the action of a user's last action but the action which the user took at any time in the past, below, the action which the user which the action estimation part 14 estimates estimates was performed in the past Is described as the last action.
 メッセージ出力部15は、メッセージDB24に基づいて、行動推定部14により推定されたユーザの行動に応じたメッセージを、スピーカ70を介した音声により出力する。メッセージDB24には、行動推定条件DB23に格納された行動推定条件ごとの行動内容とそれぞれ対応するメッセージが格納されている。行動推定部14においてユーザの行動内容が推定されると、メッセージ出力部15は、その行動内容に応じたメッセージをメッセージDB24から抽出する。そして、抽出したメッセージの音声を再生し、スピーカ70から出力させる。 The message output unit 15 outputs a message corresponding to the action of the user estimated by the action estimation unit 14 by voice via the speaker 70 based on the message DB 24. The message DB 24 stores messages corresponding to the action content for each of the action estimation conditions stored in the action estimation condition DB 23. When the action estimation unit 14 estimates the action content of the user, the message output unit 15 extracts a message corresponding to the action content from the message DB 24. Then, the voice of the extracted message is reproduced and output from the speaker 70.
 図4は、メッセージDB24の例を示す図である。メッセージDB24は、メッセージID241、行動種別242、行動内容243、メッセージ244、出力タイミング245、キャンセル246の各フィールドを有している。 FIG. 4 is a diagram showing an example of the message DB 24. As shown in FIG. The message DB 24 has fields of a message ID 241, an action type 242, an action content 243, a message 244, an output timing 245, and a cancel 246.
 メッセージID241には、当該レコードに対応するID番号が格納される。 The message ID 241 stores an ID number corresponding to the record.
 行動種別242には、当該レコードがユーザの直前の行動と今後の行動のどちらに対するメッセージを表しているかを示す値が格納される。具体的には、ユーザの直前の行動に対するメッセージを表すレコードでは「直前」が行動種別242に格納され、ユーザの今後の行動に対するメッセージを表すレコードでは「今後」が行動種別241に格納される。なお、行動種別242は、図3の行動推定条件DB23における行動種別231に対応している。 The action type 242 stores a value indicating whether the record represents a message for the user's last action or a future action. Specifically, “preceding” is stored in the action type 242 in the record representing the message for the user's last action, and “future” is stored in the action type 241 in the record representing the user's future message. The action type 242 corresponds to the action type 231 in the action estimation condition DB 23 of FIG. 3.
 行動内容243には、当該レコードによるメッセージ出力が行われるユーザの具体的な行動内容の推定結果、たとえば「ゴルフ」、「買い物」、「昼食」、「出勤」などが格納される。なお、行動内容243は、図3の行動推定条件DB23における行動内容232に対応している。すなわち、行動種別242が「直前」であるレコードでは、ユーザが直前に行ったと推定される行動内容が当該レコードによるメッセージの出力対象として行動内容243に格納され、行動種別242が「今後」であるレコードでは、ユーザが今後行うと推定される行動内容が当該レコードによるメッセージの出力対象として行動内容243に格納される。 The action content 243 stores, for example, “golf”, “shopping”, “lunch”, “going to work”, and the like as the estimation result of the specific action content of the user for whom the message output by the record is performed. The action content 243 corresponds to the action content 232 in the action estimation condition DB 23 of FIG. 3. That is, in the record in which the action type 242 is "immediately", the action content presumed to be performed by the user immediately before is stored in the action content 243 as the output target of the message by the record, and the action type 242 is "future" In the record, the action content estimated to be performed by the user in the future is stored in the action content 243 as an output target of the message by the record.
 メッセージ244には、当該レコードによりメッセージ出力部15が出力するメッセージの具合的な内容が格納される。このメッセージ244の内容は、行動種別242と行動内容243の内容の組み合わせに従って、レコードごとに適切なものが予め設定されている。たとえば、行動種別242が「直前」、行動内容243が「ゴルフ」である一行目のレコードには、ユーザが直前にゴルフ場に滞在していたと推定された場合のメッセージとして、「良いスコアは出ましたか?」という内容がメッセージ244に格納されている。他のレコードについても同様に、ユーザの行動タイミング(直前か今後か)および行動内容ごとに適切なメッセージ内容がメッセージ244に格納されている。 The content of the message output from the message output unit 15 is stored in the message 244 according to the record. The contents of the message 244 are preset for each record in accordance with the combination of the action type 242 and the contents of the action content 243. For example, in the first record where the action type 242 is “immediately before” and the action content 243 is “golf”, “a good score is given as a message when it is estimated that the user has stayed at the golf course immediately before Content is stored in the message 244. Similarly for the other records, appropriate message content is stored in the message 244 for each user's action timing (immediately or later) and action content.
 出力タイミング245には、当該レコードによりメッセージ出力部15がメッセージを出力するタイミングが格納される。たとえば、行動内容243が「会議」であるレコードでは、会議開始前の適切なタイミングでメッセージが出力されるようにするため、会議開始予定時刻の10分前をメッセージの出力タイミングとして示す情報が出力タイミング245に格納されている。なお、出力タイミング245において何も規定されていないレコードの場合は、行動推定部14によりユーザの行動が推定された直後、すなわち行動推定部14がいずれかの行動推定条件を満たしたと判断した直後にメッセージを出力すればよい。たとえば、行動内容243が「プレゼント購入」であるレコードでは、ユーザの行動が推定された直後にメッセージが出力されるようにするため、出力タイミング245には何も規定されていない。これにより、ユーザの今後の行動に応じて適切なタイミングでメッセージを出力することができる。 The output timing 245 stores the timing at which the message output unit 15 outputs a message according to the record. For example, in a record in which the action content 243 is "meeting", information indicating 10 minutes before the scheduled meeting start time as a message output timing is output in order to output a message at an appropriate timing before the start of the conference. It is stored at timing 245. In the case of a record in which nothing is defined at the output timing 245, immediately after the action estimation unit 14 estimates the action of the user, that is, immediately after the action estimation unit 14 determines that any action estimation condition is satisfied. Output a message. For example, in a record in which the action content 243 is “purchase present”, nothing is specified in the output timing 245 in order to output a message immediately after the user's action is estimated. Thereby, the message can be output at an appropriate timing according to the user's future behavior.
 キャンセル246には、ユーザが当該レコードのメッセージをキャンセルしたか否かを示す値が格納される。ユーザは、メッセージ出力部15がメッセージを出力したときに、そのメッセージが今後は不要と判断すると、当該メッセージのキャンセルを指示することができる。ユーザによるメッセージのキャンセル指示が行われると、そのメッセージに対応するレコードのキャンセル246には、所定のフラグ値が格納される。キャンセル246にフラグが設定されていると、メッセージ出力部15は、当該レコードによるメッセージがユーザにとって不要であると判断し、以後はそのメッセージを出力しない。図4の例では、メッセージID241の値が3である三行目のレコードのキャンセル246において、フラグが設定されていることを示す「〇」が格納されている。すなわち、ユーザはこのレコードが表すメッセージを不要と判断したことが分かる。 The cancel 246 stores a value indicating whether the user has canceled the message of the record. When the message output unit 15 outputs a message, if the user determines that the message is unnecessary from now on, the user can instruct cancellation of the message. When the user instructs cancellation of the message, a predetermined flag value is stored in the cancellation 246 of the record corresponding to the message. If the flag is set in the cancel 246, the message output unit 15 determines that the message by the record is unnecessary for the user, and does not output the message thereafter. In the example of FIG. 4, “o” indicating that the flag is set is stored in the cancellation 246 of the third line of the record in which the value of the message ID 241 is 3. That is, it can be understood that the user has determined that the message represented by this record is unnecessary.
 行動推定部14により、行動推定条件DB23に保存されたいずれかのレコードがユーザの行動推定結果として特定されると、メッセージ出力部15は、そのレコードの行動種別231および行動内容232とそれぞれ一致する内容が行動種別242および行動内容243にそれぞれ格納されているレコードを、メッセージDB24において検索する。そして、検索されたレコードのメッセージ244の内容に基づく音声をスピーカ70から出力することで、行動推定結果に応じたメッセージ出力を行う。ただし前述のように、検索されたレコードにおいてキャンセル246にフラグが設定されている場合は、当該メッセージを出力しないように抑止する。 When one of the records stored in the action estimation condition DB 23 is specified as the user's action estimation result by the action estimation unit 14, the message output unit 15 matches the action type 231 and the action content 232 of the record, respectively. Records in which the content is stored in the action type 242 and the action content 243 are searched in the message DB 24. Then, by outputting from the speaker 70 a voice based on the content of the message 244 of the retrieved record, the message output according to the action estimation result is performed. However, as described above, when the flag is set in the cancel 246 in the retrieved record, the message is not output.
 キャンセル部16は、ユーザのキャンセル指示に応じて、図4に示した行動推定条件メッセージDB24のキャンセル246に対してフラグ設定を行う。これによりキャンセル部16は、ユーザから一度キャンセルされたメッセージについては、以後メッセージ出力部15が出力しないようにする。なお、ユーザは操作入力部60を用いて所定の操作を行うことにより、キャンセル部16に対してメッセージのキャンセル指示を行うことができる。 The cancel unit 16 sets a flag for the cancel 246 of the action estimation condition message DB 24 shown in FIG. 4 according to the user's cancel instruction. As a result, the cancel unit 16 prevents the message output unit 15 from outputting the message canceled by the user once. The user can issue a cancellation instruction to the cancellation unit 16 by performing a predetermined operation using the operation input unit 60.
 次に、制御部10の処理内容について説明する。図5は、制御部10の処理フローを示す図である。 Next, the processing content of the control unit 10 will be described. FIG. 5 is a diagram showing a process flow of the control unit 10.
 ステップS10において、制御部10は、自車両のイグニッション信号がオンされたか否かを判定する。自車両のイグニッション信号がオンされた場合は処理をステップS20に進め、オンされていない場合は処理をステップS100に進める。 In step S10, the control unit 10 determines whether the ignition signal of the host vehicle is turned on. If the ignition signal of the host vehicle is turned on, the process proceeds to step S20. If the ignition signal is not turned on, the process proceeds to step S100.
 ステップS20において、制御部10は、自車位置検出部30から自車両の現在位置を取得する。 In step S20, the control unit 10 acquires the current position of the vehicle from the vehicle position detection unit 30.
 ステップS30において、制御部10は、地図DB21を参照して、ステップS20で取得した自車両の現在位置に対応する施設(POI)を特定する。 In step S30, the control unit 10 refers to the map DB 21 to identify a facility (POI) corresponding to the current position of the vehicle acquired in step S20.
 ステップS40において、制御部10は、ステップS20で取得した自車両の現在位置と、ステップS30で特定した施設とに基づいて、行動履歴記録部11により、ユーザの行動履歴を行動履歴DB22に記録する。このとき行動履歴記録部11は、日時222には現在の日時を、乗車/降車223には「乗車」を、位置224には自車両の現在位置に対応する座標値を、POI225にはステップS30で特定した施設の種類をそれぞれ設定したレコードを行動履歴DB22に記録する。また、ステップS30で特定した施設の種類が自宅である場合は、これから自宅を出発すると判断してトリップID221の値を更新する。 In step S40, the control unit 10 records the user's action history in the action history DB 22 by the action history recording unit 11 based on the current position of the host vehicle acquired in step S20 and the facility specified in step S30. . At this time, the action history recording unit 11 uses the current date and time as the date and time 222, “rides in” the boarding / dismounting 223, a coordinate value corresponding to the current position of the vehicle at the position 224, and step S30 for the POI 225. The record which set the kind of the facility specified by each is recorded on action log | history DB22. Further, when the type of the facility specified in step S30 is a home, it is determined that the user is leaving home from now, and the value of the trip ID 221 is updated.
 ステップS50において、制御部10は、行動推定部14による行動推定処理を行う。この行動推定処理により、ユーザが直前に行った行動、またはユーザが今後行う行動が推定される。なお、ステップS50の行動推定処理の詳細については、後で図6のフローチャートを参照して説明する。 In step S <b> 50, the control unit 10 performs an action estimation process by the action estimation unit 14. By this action estimation process, the action performed immediately before by the user or the action performed by the user in the future is estimated. The details of the action estimation process in step S50 will be described later with reference to the flowchart in FIG.
 ステップS60において、制御部10は、ステップS50の行動推定処理によってユーザの行動を推定できたか否かを判定する。ユーザの行動を推定できた場合はステップS70に処理を進め、できなかった場合、すなわちステップS50の行動推定処理でいずれの推定結果も得られなかった場合はステップS140に処理を進める。 In step S60, the control unit 10 determines whether or not the action of the user can be estimated by the action estimation process of step S50. If the user's action can be estimated, the process proceeds to step S70. If the user's action can not be estimated, that is, if any estimation result is not obtained in the action estimation process of step S50, the process proceeds to step S140.
 ステップS70において、制御部10は、メッセージ出力部15により、ユーザの行動推定結果に対応するメッセージを特定する。このときメッセージ出力部15は、ステップS50で推定されたユーザの行動を表す行動推定条件DB23のレコードにおける行動種別231および行動内容232の内容に対して、これらと行動種別242および行動内容243の内容がそれぞれ一致するレコードをメッセージDB24から抽出する。そして、抽出したレコードにおけるメッセージ244の内容を参照することで、ユーザの行動結果に対するメッセージを特定する。 In step S <b> 70, the control unit 10 causes the message output unit 15 to specify a message corresponding to the user's action estimation result. At this time, the message output unit 15 compares the contents of the action type 242 and the action content 243 with respect to the contents of the action type 231 and the action content 232 in the record of the action estimation condition DB 23 representing the user's action estimated in step S50. Extract the records that respectively match from the message DB 24. Then, by referring to the contents of the message 244 in the extracted record, the message for the user's action result is specified.
 ステップS80において、制御部10は、ステップS70で特定したメッセージに対するユーザからのキャンセル指令を受けたか否かを判定する。このとき制御部10は、ステップS70で特定したメッセージを表すメッセージDB24のレコードにおけるキャンセル246を参照し、ここにフラグが設定されているか否かを判断することで、当該メッセージに対するキャンセル指令の有無を判定する。その結果、キャンセル246にフラグが設定されている場合は、キャンセル指令を受けたと判断し、メッセージを出力せずにステップS140に処理を進める。一方、キャンセル246にフラグが設定されていない場合は、キャンセル指令を受けていないと判断して、ステップS90に処理を進める。 In step S80, the control unit 10 determines whether a cancel instruction from the user for the message identified in step S70 has been received. At this time, the control unit 10 refers to the cancel 246 in the record of the message DB 24 representing the message identified in step S70, and determines whether or not a flag is set here to determine whether or not there is a cancel instruction for the message. judge. As a result, when the flag is set in the cancel 246, it is determined that the cancel instruction has been received, and the process proceeds to step S140 without outputting a message. On the other hand, when the flag is not set in the cancel 246, it is determined that the cancel instruction has not been received, and the process proceeds to step S90.
 ステップS90において、制御部10は、メッセージ出力部15により、ステップS70で特定したメッセージをスピーカ70から出力する。ただし、ステップS70で抽出したレコードの出力タイミング245において、ユーザの行動が推定された直後以外のタイミングでのメッセージ出力の規定がされている場合は、メッセージを出力する代わりに、その規定タイミングに応じた出力タイミングを設定する。この場合、設定された出力タイミングになると、メッセージ出力部15がメッセージをスピーカ70から出力する。ステップS90の処理を実行したら、ステップS140に処理を進める。 In step S90, the control unit 10 causes the message output unit 15 to output the message specified in step S70 from the speaker 70. However, when the message output at timing other than immediately after the user's action is estimated is specified at the output timing 245 of the record extracted at step S70, instead of outputting the message, according to the specified timing. Set the output timing. In this case, at the set output timing, the message output unit 15 outputs a message from the speaker 70. After the process of step S90 is performed, the process proceeds to step S140.
 ステップS100において、制御部10は、自車両のイグニッション信号がオフされたか否かを判定する。自車両のイグニッション信号がオフされた場合は処理をステップS110に進め、オフされていない場合は処理をステップS10に戻す。 In step S100, the control unit 10 determines whether the ignition signal of the host vehicle is turned off. If the ignition signal of the host vehicle is off, the process proceeds to step S110. If the ignition signal is not off, the process returns to step S10.
 ステップS110において、制御部10は、自車位置検出部30から自車両の現在位置を取得する。 In step S110, the control unit 10 acquires the current position of the vehicle from the vehicle position detection unit 30.
 ステップS120において、制御部10は、地図DB21を参照して、ステップS110で取得した自車両の現在位置に対応する施設(POI)を特定する。 In step S120, the control unit 10 refers to the map DB 21 to specify a facility (POI) corresponding to the current position of the host vehicle acquired in step S110.
 ステップS130において、制御部10は、ステップS110で取得した自車両の現在位置と、ステップS120で特定した施設とに基づいて、行動履歴記録部11により、ユーザの行動履歴を行動履歴DB22に記録する。このとき行動履歴記録部11は、日時222には現在の日時を、乗車/降車223には「降車」を、位置224には自車両の現在位置に対応する座標値を、POI225にはステップS30で特定した施設の種類をそれぞれ設定したレコードを行動履歴DB22に記録する。また、ステップS30で特定した施設が目的地に設定されていた場合は、目的地226にフラグを設定する。ステップS130の処理を実行したら、ステップS140に処理を進める。 In step S130, the control unit 10 causes the action history recording unit 11 to record the user's action history in the action history DB 22 based on the current position of the vehicle acquired in step S110 and the facility specified in step S120. . At this time, the action history recording unit 11 uses the current date and time as the date and time 222, “disembarking” for getting on and off the vehicle 223, coordinate values corresponding to the current position of the vehicle at the position 224, and step S30 for the POI 225. The record which set the kind of the facility specified by each is recorded on action log | history DB22. When the facility specified in step S30 is set as the destination, a flag is set in the destination 226. After the process of step S130 is performed, the process proceeds to step S140.
 ステップS140において、制御部10は、行動推定条件作成部13による行動推定条件作成処理を行う。この行動推定条件作成処理により、これまでのユーザの行動履歴に応じた行動推定条件が作成され、行動推定条件DB23に記録される。なお、ステップS140の行動推定条件作成処理の詳細については、後で図7のフローチャートを参照して説明する。ステップS140の処理を実行したら、図5のフローチャートを終了する。 In step S140, the control unit 10 performs an action estimation condition creation process by the action estimation condition creation unit 13. By this action estimation condition creation process, an action estimation condition according to the user's action history up to now is created and recorded in the action estimation condition DB 23. The details of the action inference condition creating process in step S140 will be described later with reference to the flowchart in FIG. After the process of step S140 is performed, the flowchart of FIG. 5 ends.
 図6は、図5のステップS50で実行される行動推定処理のフローチャートである。 FIG. 6 is a flowchart of the action estimation process executed in step S50 of FIG.
 ステップS51において、行動推定部14は、直前の乗車時と降車時の行動履歴を行動履歴DB22から読み込む。具体的には、行動履歴DB22に記録されている各レコードのうち、乗車/降車223が「乗車」である最上位のレコードを、直前の乗車時の行動履歴として読み込む。このレコードは、直前のステップS40で行動履歴DB22に記録されたレコードである。また、行動履歴DB22に記録されている各レコードのうち、乗車/降車223が「降車」である最上位のレコードを、直前の降車時の行動履歴として読み込む。 In step S51, the action estimation unit 14 reads from the action history DB 22 the action history at the time of getting on immediately before getting on and getting off. Specifically, among the records recorded in the action history DB 22, the highest-ranked record in which the getting on / off 223 is "getting in" is read as the action history at the time of getting on immediately before. This record is a record recorded in the action history DB 22 at the immediately preceding step S40. Further, among the records recorded in the action history DB 22, the topmost record in which the getting on / off 223 is “getting off” is read as the action history at the time of the last getting off.
 ステップS52において、行動推定部14は、ステップS51で読み込んだ直前の乗車時と降車時の行動履歴から、現在位置に対応する施設におけるユーザの滞在時間を算出する。具体的には、直前の乗車時の行動履歴として読み込んだレコードの日時222の値と、直前の降車時の行動履歴として読み込んだレコードの日時222の値との差分を求めることで、ユーザの滞在時間を算出する。 In step S52, the action estimation unit 14 calculates the stay time of the user at the facility corresponding to the current position from the action history at the time of getting on and getting off immediately before the load read in step S51. Specifically, the difference between the value of the date and time 222 of the record read as the action history at the time of the last ride and the value of the date and time 222 of the record read as the action history at the last alighting is obtained Calculate the time.
 ステップS53において、行動推定部14は、外部情報取得部12を用いて外部情報を取得する。ここでは前述のように、行先場所に関する天候情報や渋滞情報、ユーザのスケジュール情報などを外部情報として取得する。なお、どの場所を行先場所として天候情報や渋滞情報を取得するかについては、行動推定条件DB23から判断することができる。すなわち、行動推定条件DB23において、いずれかの場所に関する天気予報や渋滞情報の条件が条件233で規定されているレコードが存在する場合には、その条件に合致する天候情報や渋滞情報を行先場所に関する天候情報や渋滞情報として取得すればよい。 In step S53, the behavior estimation unit 14 acquires external information using the external information acquisition unit 12. Here, as described above, weather information and traffic information on the destination location, schedule information of the user, and the like are acquired as external information. In addition, it can be determined from the action estimation condition DB 23 as to which place is the destination place to acquire the weather information and the traffic jam information. That is, when there is a record in which the condition of the weather forecast or traffic jam information for any place is defined by the condition 233 in the action estimation condition DB 23, the weather information or traffic jam information matching the conditions is related to the destination location. It may be acquired as weather information or traffic congestion information.
 ステップS54において、行動推定部14は、ステップS51で読み込んだ直前の乗車時と降車時の行動履歴と、ステップS52で算出した滞在時間と、ステップS53で取得した外部情報とを用いて、行動推定条件DB23に記録された行動推定条件のうちいずれかが満たされるか否かを判定する。ここでは、行動推定条件DB23に記録された各レコードの条件233で規定された条件をそれぞれ参照して、直前の行動履歴がいずれかの条件に合致するか否かを判定する。その結果、合致する条件がある場合はステップS55に処理を進め、ない場合は図6の処理を終了する。 In step S54, the action estimation unit 14 estimates an action using the action history at the time of getting in and off immediately before being read in step S51, the stay time calculated in step S52, and the external information acquired in step S53. It is determined whether any one of the action estimation conditions recorded in the condition DB 23 is satisfied. Here, the condition defined by the condition 233 of each record recorded in the action estimation condition DB 23 is referred to, and it is determined whether the immediately preceding action history matches any one of the conditions. As a result, if there is a matching condition, the process proceeds to step S55. If not, the process of FIG. 6 ends.
 ステップS55において、行動推定部14は、ユーザの行動推定結果を示す行動種別および行動内容を特定する。ここでは、ステップS54で直前の行動履歴が合致すると判定した条件が条件233に設定されているレコードを行動推定条件DB23において特定し、当該レコードの行動種別231および行動内容232の内容を参照することで、ユーザの直前の行動と今後の行動のどちらに対する推定結果であるかを示す行動種別と、その具体的な行動内容とを特定する。これにより、ユーザの直前の行動履歴に応じた行動推定結果が得られる。ステップS55を実行したら、図6の処理を終了する。 In step S55, the action estimation unit 14 identifies an action type and an action content indicating a result of the user's action estimation. Here, a record whose condition 233 is determined to match the previous action history in step S 54 is specified in the action estimation condition DB 23, and the contents of the action type 231 and the action content 232 of the record are referenced. Then, the action type indicating which of the user's last action and the future action is the estimation result and the specific action content are specified. As a result, an action estimation result according to the previous action history of the user can be obtained. After step S55 is executed, the process of FIG. 6 is ended.
 図7は、図5のステップS140で実行される行動推定条件作成処理のフローチャートである。 FIG. 7 is a flowchart of the action estimation condition creation process executed in step S140 of FIG.
 ステップS141において、行動推定条件作成部13は、これまでに記録されたユーザの行動履歴を行動履歴DB22から読み込む。このとき、特定の期間に記録された行動履歴のみを読み込み対象としてもよい。 In step S141, the action estimation condition creation unit 13 reads the action history of the user recorded so far from the action history DB 22. At this time, only the action history recorded in a specific period may be read.
 ステップS142において、行動推定条件作成部13は、ステップS141で読み込んだ行動履歴において規則性があるか否かを判定する。ここでは前述のように、同一の施設に対する行動履歴の記録頻度、時間帯、暦、地域性などを考慮して、行動履歴における規則性の有無を判断することができる。その結果、規則性があると判定した場合はステップS143に処理を進め、ないと判定した場合はステップS145に処理を進める。 In step S142, the action estimation condition creation unit 13 determines whether or not there is regularity in the action history read in step S141. Here, as described above, the presence or absence of regularity in the action history can be determined in consideration of the recording frequency of the action history for the same facility, the time zone, the calendar, the regionality, and the like. As a result, when it is determined that there is regularity, the process proceeds to step S143, and when it is determined that it is not, the process proceeds to step S145.
 ステップS143において、行動推定条件作成部13は、ステップS142で読み込んだ行動履歴から判定した規則性に対応するレコードがメッセージDB24において存在するか否かを判定する。ここでは、メッセージDB24に記録されているレコードの中に、行動種別242が「今後」であり、ステップS142で規則性ありと判断した行動履歴のPOI225に対応する行動内容243が設定されているレコードがあるか否かを判定する。その結果、該当するレコードが存在する場合はステップS144に処理を進め、ないと判定した場合はステップS145に処理を進める。 In step S143, the action estimation condition creating unit 13 determines whether or not a record corresponding to the regularity determined from the action history read in step S142 exists in the message DB 24. Here, a record in which the action content 243 corresponding to the POI 225 of the action history that the action type 242 is “future” and is determined to be regular in step S142 is set in the records recorded in the message DB 24 Determine if there is. As a result, when the corresponding record exists, the process proceeds to step S144, and when it is determined that it does not, the process proceeds to step S145.
 ステップS144において、行動推定条件作成部13は、ステップS142で判断した規則性に基づく行動推定条件を作成する。ここでは、たとえば図3に例示した行動推定条件DB23において5~7行目にそれぞれ示すレコードの条件233に規定されているような行動推定条件を作成する。なお、6行目のレコードにおける天気予報の条件や、7行目のレコードにおける渋滞情報の条件は、規則性ありと判断した行動履歴の位置224が示す旅行先の位置や、規則性ありと判断した行動履歴のPOI225に対応するメッセージDB24の行動内容243から判断すればよい。 In step S144, the action estimation condition creation unit 13 creates an action estimation condition based on the regularity determined in step S142. Here, for example, the action estimation condition as defined in the condition 233 of the record shown in the fifth to seventh lines respectively in the action estimation condition DB 23 illustrated in FIG. 3 is created. The condition of the weather forecast in the sixth record and the condition of the congestion information in the seventh record are determined to be the position of the travel destination indicated by the position 224 of the action history determined to be regular, and the regular It may be determined from the action content 243 of the message DB 24 corresponding to the POI 225 of the action history.
 ステップS145において、行動推定条件作成部13は、ユーザが登録したスケジュール情報の有無を判定する。通信部40を介して車載装置1に接続されたサーバや携帯端末等の外部情報装置において、ユーザがスケジュール情報を登録している場合はステップS146に処理を進め、登録していない場合はステップS148に処理を進める。 In step S145, the action estimation condition creation unit 13 determines the presence or absence of the schedule information registered by the user. In the external information device such as a server or a portable terminal connected to the in-vehicle device 1 via the communication unit 40, when the user has registered the schedule information, the process proceeds to step S146, and when not registered, the step S148 Proceed to
 ステップS146において、行動推定条件作成部13は、外部情報取得部12を用いて、ユーザのスケジュール情報を外部情報として取得する。 In step S146, the behavior estimation condition creating unit 13 uses the external information acquisition unit 12 to acquire the schedule information of the user as external information.
 ステップS147において、行動推定条件作成部13は、ステップS146で取得したユーザのスケジュール情報に基づく行動推定条件を作成する。ここでは、たとえば図3に例示した行動推定条件DB23において8、9行目にそれぞれ示すレコードの条件233に規定されているような行動推定条件を、取得したスケジュール情報に従って作成する。 In step S147, the action estimation condition creating unit 13 creates an action estimation condition based on the schedule information of the user acquired in step S146. Here, for example, the action estimation condition as defined in the condition 233 of the record shown in the eighth and ninth lines respectively in the action estimation condition DB 23 illustrated in FIG. 3 is created according to the acquired schedule information.
 ステップS148において、行動推定条件作成部13は、ステップS144、S147でそれぞれ作成した行動推定条件を行動推定条件DB23に記録する。ステップS148を実行したら、図7の処理を終了する。なお、ステップS144とステップS147のいずれも実行していない場合、すなわち行動推定条件を作成できなかった場合は、ステップS148を実行せずに図7の処理を終了する。 In step S148, the action estimation condition creating unit 13 records the action estimation conditions created in steps S144 and S147 in the action estimation condition DB 23. After step S148 is executed, the process of FIG. 7 ends. In addition, when neither step S144 nor step S147 is performed, ie, an action estimation condition can not be created, the process of FIG. 7 is complete | finished without performing step S148.
 以上説明した本発明の第1の実施形態によれば、以下の作用効果を奏する。 According to the first embodiment of the present invention described above, the following effects can be obtained.
(1)情報処理装置である車載装置1は、ユーザが過去に訪問した既訪問場所に関するユーザの行動履歴を行動履歴DB22に記録する行動履歴記録部11と、行動履歴DB22に記録された行動履歴に基づいてユーザの行動を推定する行動推定部14と、行動推定部14により推定されたユーザの行動に応じたメッセージを出力するメッセージ出力部15と、を備える。このようにしたので、ユーザにとって使い心地の良い情報提供を行うことができる。 (1) The in-vehicle apparatus 1, which is an information processing apparatus, records in the action history DB 22 the action history of the user regarding the visited place visited by the user in the past, and the action history recorded in the action history DB 22 And a message output unit 15 for outputting a message according to the user's behavior estimated by the behavior estimation unit 14. Since this is done, it is possible to provide user-friendly information.
(2)行動推定部14は、ユーザの過去の行動を推定することができる。具体的には、行動履歴DB22に記録された行動履歴は、日時222に示される既訪問場所の到着日時および出発日時と、POI225に示される既訪問場所の施設種類とを含む。行動推定部14は、この行動履歴に基づいて既訪問場所におけるユーザの過去の行動を推定する。このようにしたので、ユーザの過去の行動、たとえばユーザの直前の行動を推定し、その推定結果に応じた情報提供を行うことができる。そのため、ユーザにとって使い心地の良い情報提供を行うことができる。 (2) The action estimation unit 14 can estimate the past action of the user. Specifically, the action history recorded in the action history DB 22 includes the arrival date and time and the departure date and time of the visited place indicated by the date and time 222, and the facility type of the visited place indicated by the POI 225. The action estimation unit 14 estimates the past action of the user at the visited place based on the action history. Since this is done, it is possible to estimate the past behavior of the user, for example, the behavior immediately before the user, and to provide information according to the estimation result. Therefore, it is possible to provide information comfortable to the user.
(3)行動推定部14は、ユーザの今後の行動を推定することもできる。具体的には、車載装置1は、行動履歴DB22に記録された行動履歴に基づいて行動推定条件を作成する行動推定条件作成部13をさらに備える。行動推定部14は、この行動推定条件に基づいてユーザの今後の行動を推定する。このようにしたので、ユーザの今後の行動を推定し、その推定結果に応じた情報提供を行うことができる。そのため、ユーザにとって使い心地の良い情報提供を行うことができる。 (3) The action estimation unit 14 can also estimate the future action of the user. Specifically, the in-vehicle device 1 further includes an action estimation condition creation unit 13 that creates an action estimation condition based on the action history recorded in the action history DB 22. The action estimation unit 14 estimates the future action of the user based on the action estimation condition. Since this is done, it is possible to estimate the user's future behavior and to provide information according to the estimation result. Therefore, it is possible to provide information comfortable to the user.
(4)行動推定条件作成部13が作成する行動推定条件は、ユーザがこれから行こうとしている行先場所に関する条件を含むことができる。メッセージ出力部15は、行先場所に関するメッセージを出力する。このようにしたので、ユーザの今後の行動に合ったメッセージを出力し、ユーザにとって有益で使い心地の良い情報提供が可能となる。 (4) The action estimation condition created by the behavior estimation condition creation unit 13 can include the condition regarding the destination place where the user is going to go. The message output unit 15 outputs a message regarding the destination location. Since this is done, it is possible to output a message that matches the user's future behavior, and to provide useful and comfortable information for the user.
(5)車載装置1は、ユーザがこれから行こうとしている行先場所に関する情報、たとえば天候情報や渋滞情報などを外部情報として取得する外部情報取得部12をさらに備える。行動推定部14は、行動推定条件作成部13により作成された行動推定条件および外部情報取得部12により取得された行先場所に関する情報に基づいてユーザの今後の行動を推定することができる。このようにしたので、ユーザの今後の行動をより一層正確に推定することができる。 (5) The in-vehicle apparatus 1 further includes the external information acquisition unit 12 that acquires information on the destination location where the user is going to go, such as weather information and traffic congestion information, as the external information. The behavior estimation unit 14 can estimate the user's future behavior based on the behavior estimation condition created by the behavior estimation condition creation unit 13 and the information on the destination location acquired by the external information acquisition unit 12. Since this is done, it is possible to estimate the user's future behavior more accurately.
(6)車載装置1は、ユーザのスケジュール情報を外部情報として取得する外部情報取得部12をさらに備える。行動推定条件作成部13は、外部情報取得部12により取得されたスケジュール情報に基づく行動推定条件をさらに作成することができる。このようにしたので、作成した行動推定条件を用いてユーザの今後の行動をより一層正確に推定することができる。 (6) The in-vehicle apparatus 1 further includes the external information acquisition unit 12 that acquires the schedule information of the user as the external information. The action estimation condition creation unit 13 can further create an action estimation condition based on the schedule information acquired by the external information acquisition unit 12. Since this is done, it is possible to more accurately estimate the user's future behavior using the created behavior estimation condition.
(7)メッセージ出力部15は、メッセージの出力がユーザによりキャンセルされると、以後はキャンセルされたメッセージの出力を抑止する。このようにしたので、ユーザが不要と判断したメッセージがそれ以上は出力されないようにして、ユーザの使い心地をさらに向上させることができる。 (7) The message output unit 15 suppresses the output of the canceled message when the output of the message is canceled by the user. Since this is done, it is possible to further improve the user's usability by not outputting any more messages that the user has determined to be unnecessary.
(8)メッセージ出力部15は、出力タイミング245に格納された情報に基づき、メッセージの内容に応じて出力タイミングを変化させることができる。このようにすれば、ユーザの今後の行動によって内容が異なるメッセージを適切なタイミングで出力できるため、ユーザの使い心地をさらに向上させることができる。 (8) The message output unit 15 can change the output timing according to the content of the message based on the information stored in the output timing 245. In this way, it is possible to output messages having different contents according to the user's future behavior at appropriate timing, which can further improve the user's usability.
(第2の実施の形態)
 以下、本発明の第2の実施形態について説明する。本実施形態では、ユーザがメッセージの出力をキャンセルした場合に、メッセージごとの属性をさらに考慮してメッセージの出力を抑止する例を説明する。なお、本実施形態に係る車載装置の構成は、記憶部20におけるメッセージDB24の構造を除いて、図1に示した第1の実施形態に係る車載装置の構成と同様である。そのため、以下ではメッセージDB24の構造の違いを中心に説明する。
Second Embodiment
Hereinafter, a second embodiment of the present invention will be described. In the present embodiment, an example will be described in which, when the user cancels the output of a message, the output of the message is suppressed in consideration of the attribute of each message. The configuration of the in-vehicle apparatus according to the present embodiment is the same as the configuration of the in-vehicle apparatus according to the first embodiment shown in FIG. 1 except for the structure of the message DB 24 in the storage unit 20. Therefore, in the following, differences in the structure of the message DB 24 will be mainly described.
 本実施形態の車載装置では、メッセージDB24の代わりに、データ構造が一部異なるメッセージDB24Aが記憶部20に記憶されている。図8は、本発明の第2の実施形態に係るメッセージDB24Aの例を示す図である。メッセージDB24Aは、第1の実施形態で説明したメッセージID241、行動種別242、行動内容243、メッセージ244、出力タイミング245、キャンセル246の各フィールドに加えて、さらに属性247を有している。 In the on-vehicle apparatus according to the present embodiment, a message DB 24 A having a partially different data structure is stored in the storage unit 20 instead of the message DB 24. FIG. 8 is a diagram showing an example of the message DB 24A according to the second embodiment of the present invention. The message DB 24A further has an attribute 247 in addition to the fields of the message ID 241, the action type 242, the action content 243, the message 244, the output timing 245, and the cancel 246 described in the first embodiment.
 属性247には、当該レコードによるメッセージの属性を示す値が格納される。図8の例では、「A」、「B」、「C」、「D」、「E」のいずれかの属性が各レコードの属性247において設定されている。なお、各レコードがどの属性に属するかについては、行動内容243やメッセージ244の内容などに応じて予め設定してもよいし、ユーザが任意に設定できるようにしてもよい。 The attribute 247 stores a value indicating the attribute of the message according to the record. In the example of FIG. 8, any one of the attributes “A”, “B”, “C”, “D”, and “E” is set in the attribute 247 of each record. The attribute to which each record belongs may be set in advance according to the action content 243 or the content of the message 244, or may be arbitrarily set by the user.
 図5のフローチャートにおいてステップS90でメッセージを出力する際に、メッセージ出力部15は、属性247を参照し、ステップS70で特定したメッセージと同じ属性の各レコードをメッセージDB24から抽出する。そして、抽出したレコードのいずれかにおいてキャンセル246にフラグが設定されているか否かを確認し、フラグが設定されていれば、メッセージの出力を抑止する。これにより、キャンセルされたメッセージだけでなく、キャンセルされたメッセージと同じ属性を有するメッセージについても、メッセージ出力部15による出力を行わないようにする。たとえば、図8のメッセージDB24Aの例において、2行目のレコードのメッセージ244に格納された「良い買い物はできましたか?」というメッセージがユーザの行動推定結果に対応するメッセージとして特定されたとする。この場合、属性247に同じ属性「B」が設定されている3行目のレコードのキャンセル246においてフラグが設定されているため、メッセージ出力部15は、上記のメッセージを出力しない。 When outputting a message in step S90 in the flowchart of FIG. 5, the message output unit 15 refers to the attribute 247 and extracts each record having the same attribute as the message identified in step S70 from the message DB 24. Then, whether or not the flag is set in the cancel 246 in any of the extracted records is checked, and if the flag is set, the output of the message is suppressed. As a result, not only the canceled message but also a message having the same attribute as that of the canceled message is not output by the message output unit 15. For example, in the example of the message DB 24A of FIG. 8, it is assumed that the message “Can you do a good shopping?” Stored in the message 244 of the record in the second line is identified as the message corresponding to the user's behavior estimation result. In this case, since the flag is set in the cancel 246 of the record in the third line in which the same attribute "B" is set in the attribute 247, the message output unit 15 does not output the above message.
 以上説明した本発明の第2の実施形態によれば、メッセージ出力部15は、キャンセルされたメッセージと同じ属性を有するメッセージの出力をさらに抑止する。このようにしたので、ユーザが不要と判断したメッセージと類似するメッセージについてもそれ以上は出力されないようにして、ユーザの使い心地をさらに向上させることができる。 According to the second embodiment of the present invention described above, the message output unit 15 further suppresses the output of the message having the same attribute as the canceled message. Since this is done, it is possible to further improve the user's usability by not outputting any message similar to the message that the user has determined to be unnecessary.
 なお、以上説明した第1および第2の実施形態は、以下のように変形してもよい。 The first and second embodiments described above may be modified as follows.
(変形例1)
 メッセージ出力部15は、メッセージを音声以外の形態、たとえば表示部50による画面表示などで出力してもよい。また、音声と画面表示とを適宜切替えてもよい。たとえば、所定の文字数以下のメッセージは音声で出力し、それより長いメッセージは画面表示で出力するようにしてもよい。さらに、画像や映像を組み合わせてもよい。
(Modification 1)
The message output unit 15 may output the message in a form other than voice, such as screen display by the display unit 50. Also, the voice and the screen display may be switched as appropriate. For example, a message having a predetermined number of characters or less may be output by voice, and a longer message may be output by screen display. Furthermore, images and videos may be combined.
(変形例2)
 車載装置1が有する機能の一部または全部をサーバで実現してもよい。その場合の車載装置は、少なくともサーバとの情報通信を行う機能と、メッセージを出力する機能とを有していればよい。たとえば車載装置を、自車両のイグニッション信号のオンオフを検知して自車両の位置をサーバに送信する送信部と、サーバが有するメッセージ出力部15から送信されたメッセージを受信する受信部と、受信したメッセージを再生してユーザに提示するメッセージ再生部とにより構成することができる。
(Modification 2)
A part or all of the functions of the in-vehicle apparatus 1 may be realized by a server. The in-vehicle apparatus in that case may have at least a function of performing information communication with the server and a function of outputting a message. For example, the on-vehicle apparatus detects the on / off of the ignition signal of the own vehicle and transmits the position of the own vehicle to the server, and the receiving unit for receiving the message transmitted from the message output unit 15 of the server; It can be configured by a message reproduction unit that reproduces the message and presents it to the user.
(変形例3)
 行動推定部14において、複数の行動推定条件が同時に満たされることで複数の行動推定結果が同時に得られた場合、メッセージ出力部15は、それぞれのメッセージを続けて出力してもよい。また、メッセージごとに優先度を設定しておき、優先度の高いメッセージを優先的に出力してもよい。
(Modification 3)
In the action estimation unit 14, when a plurality of action estimation conditions are simultaneously satisfied and a plurality of action estimation results are obtained simultaneously, the message output unit 15 may continuously output each message. Also, priority may be set for each message, and messages with high priority may be output with priority.
(変形例4)
 車載装置1からユーザが所持するスマートフォン等の情報端末にメッセージ内容を送信し、情報端末からメッセージを出力してもよい。たとえば、無線LANやブルートゥース等の通信回線を介して車載装置1と情報端末を接続することで、車載装置から情報端末へのメッセージ送信が可能である。
(Modification 4)
The message content may be transmitted from the in-vehicle apparatus 1 to an information terminal such as a smartphone possessed by the user, and the message may be output from the information terminal. For example, by connecting the in-vehicle apparatus 1 and the information terminal via a communication line such as a wireless LAN or Bluetooth, it is possible to transmit a message from the in-vehicle apparatus to the information terminal.
(変形例5)
 上記の各実施形態では、ユーザが操作入力部60を用いてメッセージのキャンセルを指示することとしたが、他の入力手段、たとえば音声やジェスチャーを用いてメッセージのキャンセルを指示してもよい。その場合、音声を検出するためのマイクやジェスチャーを検出するためのカメラなどを車載装置が備えてもよいし、車両に搭載されたものを利用してもよい。
(Modification 5)
In the above embodiments, the user instructs to cancel the message using the operation input unit 60. However, the user may instruct to cancel the message using another input unit, for example, voice or gesture. In that case, the on-vehicle apparatus may include a microphone for detecting a voice, a camera for detecting a gesture, or the like, or may be mounted on a vehicle.
(変形例6)
 上記の各実施形態では、車両に搭載された情報処理装置である車載装置1による情報提供について説明したが、本発明は車載装置に限定されない。ユーザの位置を検出して行動履歴を記録し、その行動履歴に基づきユーザの行動を推定してメッセージを出力するものであれば、他の情報処理装置にも適用可能である。
(Modification 6)
In each of the above embodiments, the provision of information by the in-vehicle device 1 which is an information processing device mounted in a vehicle has been described, but the present invention is not limited to the in-vehicle device. The present invention is also applicable to other information processing apparatuses as long as the position of the user is detected and the action history is recorded, the action of the user is estimated based on the action history, and the message is output.
 以上説明した各実施形態や各種の変形例はあくまで一例である。本発明の特徴を損なわない限り、本発明は上記実施の形態に限定されるものではなく、本発明の技術的思想の範囲内で考えられるその他の形態についても、本発明の範囲内に含まれる。 The embodiments and various modifications described above are merely examples. The present invention is not limited to the above embodiment as long as the features of the present invention are not impaired, and other embodiments considered within the scope of the technical idea of the present invention are also included in the scope of the present invention. .
 次の優先権基礎出願の開示内容は引用文としてここに組み込まれる。
 日本国特許出願2017年第142173号(2017年7月21日出願)
The disclosure content of the following priority basic application is incorporated herein by reference.
Japanese patent application 2017 No. 142173 (filed on July 21, 2017)
 1…車載装置
10…制御部
11…行動履歴記録部
12…外部情報取得部
13…行動推定条件作成部
14…行動推定部
15…メッセージ出力部
16…キャンセル部
20…記憶部
21…地図DB
22…行動履歴DB
23…行動推定条件DB
24…メッセージDB
30…自車位置検出部
40…通信部
50…表示部
60…操作入力部
70…スピーカ
DESCRIPTION OF SYMBOLS 1 ... in-vehicle device 10 ... control part 11 ... action history recording part 12 ... external information acquisition part 13 ... action estimation condition preparation part 14 ... action estimation part 15 ... message output part 16 ... cancellation part 20 ... storage part 21 ... map DB
22 ... action history DB
23 ... Behavior estimation condition DB
24 ... Message DB
30 Vehicle position detection unit 40 Communication unit 50 Display unit 60 Operation input unit 70 Speaker

Claims (22)

  1.  ユーザが過去に訪問した既訪問場所に関する前記ユーザの行動履歴を記録する行動履歴記録部と、
     前記行動履歴に基づいて前記ユーザの行動を推定する行動推定部と、
     前記行動推定部により推定された前記ユーザの行動に応じたメッセージを出力するメッセージ出力部と、を備える情報処理装置。
    An action history recording unit for recording an action history of the user regarding an already visited place visited by the user in the past;
    An action estimation unit that estimates the action of the user based on the action history;
    A message output unit that outputs a message according to the action of the user estimated by the action estimation unit.
  2.  請求項1に記載の情報処理装置において、
     前記行動推定部は、前記ユーザの過去の行動を推定する情報処理装置。
    In the information processing apparatus according to claim 1,
    The information processing apparatus which estimates the past action of the user.
  3.  請求項2に記載の情報処理装置において、
     前記行動履歴は、前記既訪問場所の到着日時および出発日時と、前記既訪問場所の施設種類とを含み、
     前記行動推定部は、前記行動履歴に基づいて前記既訪問場所における前記ユーザの過去の行動を推定する情報処理装置。
    In the information processing apparatus according to claim 2,
    The action history includes arrival date and time of departure of the visited place and departure date, and facility type of the visited place,
    The information processing apparatus, wherein the action estimation unit estimates the past action of the user at the visited place based on the action history.
  4.  請求項1に記載の情報処理装置において、
     前記行動推定部は、前記ユーザの今後の行動を推定する情報処理装置。
    In the information processing apparatus according to claim 1,
    The information processing apparatus which estimates the future action of the user.
  5.  請求項4に記載の情報処理装置において、
     前記行動履歴に基づいて行動推定条件を作成する行動推定条件作成部をさらに備え、
     前記行動推定部は、前記行動推定条件に基づいて前記ユーザの今後の行動を推定する情報処理装置。
    In the information processing apparatus according to claim 4,
    It further comprises an action estimation condition creation unit that creates an action estimation condition based on the action history,
    The information processing apparatus, wherein the action estimation unit estimates a future action of the user based on the action estimation condition.
  6.  請求項5に記載の情報処理装置において、
     前記行動推定条件は、前記ユーザがこれから行こうとしている行先場所に関する条件を含み、
     前記メッセージ出力部は、前記行先場所に関するメッセージを出力する情報処理装置。
    In the information processing apparatus according to claim 5,
    The action estimation condition includes a condition regarding a destination place where the user is going to go from now on,
    The information output apparatus outputs the message about the destination location.
  7.  請求項6に記載の情報処理装置において、
     前記行先場所に関する情報を取得する情報取得部をさらに備え、
     前記行動推定部は、前記行動推定条件および前記行先場所に関する情報に基づいて前記ユーザの今後の行動を推定する情報処理装置。
    In the information processing apparatus according to claim 6,
    The information processing apparatus further comprises an information acquisition unit that acquires information on the destination location,
    The information processing apparatus which estimates the future action of the user based on the information on the action estimation condition and the destination location.
  8.  請求項5に記載の情報処理装置において、
     前記ユーザのスケジュール情報を取得する情報取得部をさらに備え、
     前記行動推定条件作成部は、前記スケジュール情報に基づく行動推定条件をさらに作成する情報処理装置。
    In the information processing apparatus according to claim 5,
    It further comprises an information acquisition unit for acquiring the schedule information of the user,
    The information processing apparatus, wherein the action estimation condition creation unit further creates an action estimation condition based on the schedule information.
  9.  請求項1~8のいずれか一項に記載の情報処理装置において、
     前記メッセージ出力部は、前記メッセージの出力が前記ユーザによりキャンセルされると、以後はキャンセルされた前記メッセージの出力を抑止する情報処理装置。
    The information processing apparatus according to any one of claims 1 to 8.
    The information processing apparatus, wherein the message output unit suppresses the output of the canceled message when the output of the message is canceled by the user.
  10.  請求項9に記載の情報処理装置において、
     前記メッセージ出力部は、キャンセルされた前記メッセージと同じ属性を有するメッセージの出力をさらに抑止する情報処理装置。
    In the information processing apparatus according to claim 9,
    The information processing apparatus, wherein the message output unit further suppresses the output of a message having the same attribute as the canceled message.
  11.  請求項1~10のいずれか一項に記載の情報処理装置において、
     前記メッセージ出力部は、前記メッセージの内容に応じて出力タイミングを変化させる情報処理装置。
    The information processing apparatus according to any one of claims 1 to 10.
    The information processing apparatus, wherein the message output unit changes an output timing according to the content of the message.
  12.  情報処理装置による情報提供方法であって、
     ユーザが過去に訪問した既訪問場所に関する前記ユーザの行動履歴を前記情報処理装置に記録し、
     前記行動履歴に基づいて前記情報処理装置が前記ユーザの行動を推定し、
     推定した前記ユーザの行動に応じたメッセージを前記情報処理装置から出力する情報提供方法。
    A method of providing information by an information processing apparatus
    Recording on the information processing apparatus the action history of the user regarding the visited place visited by the user in the past;
    The information processing apparatus estimates the action of the user based on the action history;
    The information provision method which outputs the message according to the estimated said user's action from the said information processing apparatus.
  13.  請求項12に記載の情報提供方法において、
     前記情報処理装置により前記ユーザの過去の行動を推定する情報提供方法。
    In the information provision method according to claim 12,
    The information provision method which estimates the past action of the said user by the said information processing apparatus.
  14.  請求項13に記載の情報提供方法において、
     前記行動履歴は、前記既訪問場所の到着日時および出発日時と、前記既訪問場所の施設種類とを含み、
     前記情報処理装置は、前記行動履歴に基づいて前記既訪問場所における前記ユーザの過去の行動を推定する情報提供方法。
    In the information provision method according to claim 13,
    The action history includes arrival date and time of departure of the visited place and departure date, and facility type of the visited place,
    The information processing method estimates the past behavior of the user at the visited place based on the behavior history.
  15.  請求項12に記載の情報提供方法において、
     前記情報処理装置により前記ユーザの今後の行動を推定する情報提供方法。
    In the information provision method according to claim 12,
    The information provision method which estimates the future action of the said user by the said information processing apparatus.
  16.  請求項15に記載の情報提供方法において、
     前記情報処理装置は、前記行動履歴に基づいて行動推定条件を作成し、作成した前記行動推定条件に基づいて前記ユーザの今後の行動を推定する情報提供方法。
    In the information provision method according to claim 15,
    The said information processing apparatus produces | generates an action estimation condition based on the said action log | history, The information provision method which estimates the future action of the said user based on the produced said action estimation condition.
  17.  請求項16に記載の情報提供方法において、
     前記行動推定条件は、前記ユーザがこれから行こうとしている行先場所に関する条件を含み、
     前記情報処理装置は、前記行先場所に関するメッセージを出力する情報提供方法。
    In the information provision method according to claim 16,
    The action estimation condition includes a condition regarding a destination place where the user is going to go from now on,
    The information processing apparatus outputs a message regarding the destination location.
  18.  請求項17に記載の情報提供方法において、
     前記情報処理装置は、前記行先場所に関する情報を取得し、作成した前記行動推定条件および取得した前記行先場所に関する情報に基づいて前記ユーザの今後の行動を推定する情報提供方法。
    In the information provision method according to claim 17,
    The information processing apparatus acquires the information on the destination location, and estimates the future behavior of the user based on the created activity estimation condition and the acquired information on the destination location.
  19.  請求項16に記載の情報提供方法において、
     前記情報処理装置は、前記ユーザのスケジュール情報を取得し、取得した前記スケジュール情報に基づく行動推定条件をさらに作成する情報提供方法。
    In the information provision method according to claim 16,
    The said information processing apparatus acquires the schedule information of the said user, The information provision method which further produces the action estimation condition based on the acquired said schedule information.
  20.  請求項12~19のいずれか一項に記載の情報提供方法において、
     前記メッセージの出力が前記ユーザによりキャンセルされると、以後はキャンセルされた前記メッセージの前記情報処理装置からの出力を抑止する情報提供方法。
    In the information provision method according to any one of claims 12 to 19,
    The information provision method which suppresses the output from said information processing apparatus of the said message canceled after that if the output of the said message is canceled by the said user.
  21.  請求項20に記載の情報提供方法において、
     キャンセルされた前記メッセージと同じ属性を有するメッセージの前記情報処理装置からの出力をさらに抑止する情報提供方法。
    In the information provision method according to claim 20,
    The information provision method which further suppresses the output from the said information processing apparatus of the message which has the same attribute as the canceled said message.
  22.  請求項12~21のいずれか一項に記載の情報提供方法において、
     前記メッセージの内容に応じて前記情報処理装置からの出力タイミングを変化させる情報提供方法。
    In the information provision method according to any one of claims 12 to 21,
    The information provision method which changes the output timing from the said information processing apparatus according to the content of the said message.
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